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May 2024 term · Business Analytics · BSMS2002

Business Analytics End Term: 1 September 2024 (May 2024 term)

The IIT Madras BS Business Analytics (Business Analytics) End Term paper sat on 1 Sept 2024, in the May 2024 term: 38 questions for 45 marks in 180 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.

Questions
38
Marks
45
Duration
180 min
MSQ
4
MCQ
7
Numerical
27

Updated

Official paper: IIT M FOUNDATION DIPLOMA FN EXAM QDF1 01 Sep 2024 · No negative marking.

Question 1

+0.5 marksOne or more correct options

The computed p-value of a chi-square goodness-of-fit test is 0.067. Then, which of the following statements are TRUE

Select all that apply.

  1. A

    At a 5% level of significance, the null hypothesis is rejected

  2. B

    At a 5% level of significance, the null hypothesis is not-rejected

  3. C

    At a 10% level of significance, the null hypothesis is rejected

  4. D

    At a 10% level of significance, the null hypothesis is not-rejected

  5. E

    At a 5% level of significance, the alternative hypothesis is rejected

  6. F

    At a 5% level of significance, the alternative hypothesis is not-rejected

  7. G

    At a 10% level of significance, the alternative hypothesis is rejected

  8. H

    At a 10% level of significance, the alternative hypothesis is not-rejected

  9. I

    None of these

Show answer

Correct answers

  • B

    At a 5% level of significance, the null hypothesis is not-rejected

  • D

    At a 10% level of significance, the null hypothesis is not-rejected

Question 2

+1 markOne correct option

The objective function of the linear programming model using pair-wise judgments:

  1. A

    Maximize the distance from the ideal point

  2. B

    Minimize the distance from the ideal point

  3. C

    Minimize the poorness of fit

  4. D

    Both Maximize the distance from the ideal point & Minimize the poorness of fit

  5. E

    Both Minimize the distance from the ideal point & Minimize the poorness of fit

Show answer

Correct answer

  • C

    Minimize the poorness of fit

Question 3

+1 markOne correct option

In the below diagram, the customer wants to decide between the products O1 & O2, and x denotes the coordinates of the ideal product. Which of the following are true?

  1. A

    Customers will prefer O1 when d2>d1

  2. B

    Customers will prefer O2 when d1<d2

  3. C

    Both Customers will prefer O1 when d2>d1 & Customers will prefer O2 when d1<d2

  4. D

    None of these

Show answer

Correct answer

  • A

    Customers will prefer O1 when d2>d1

Question 4

+1.5 marksOne correct option

Assume 5 factories are producing the same output of 1000 units. But, the resources used i.e. labour and raw materials are different. Which of the following factories are efficient?

  1. A

    A, B, D

  2. B

    B, C, D

  3. C

    A, C, D

  4. D

    A, E, D

  5. E

    B, D, E

Show answer

Correct answer

  • C

    A, C, D

Question 5

+1.5 marksOne correct option

In a conjoint problem with 4 products and 2 attributes, how many pair-wise preferences are possible?

  1. A

    8

  2. B

    6

  3. C

    16

  4. D

    12

Show answer

Correct answer

  • B

    6

Question 6

+1.5 marksOne correct option

If the attribute values in the conjoint analysis is a continuous variable and the data is collected in a pairwise order, then what approach can be used:

  1. A

    Optimization approach

  2. B

    Regression approach

  3. C

    Statistical approach

  4. D

    Optimization approach or Statistical approach

Show answer

Correct answer

  • A

    Optimization approach

Question 7

+1.5 marksOne or more correct options

There are 6 business units and you are using the DEA to compare them. You solve the LP for business unit 5. You find from the constraint expression that business unit 5 has obtained an efficiency of 0.7 and business unit 6 has obtained an efficiency of 1 with the optimal weights of business unit 5. Which of the following statements is correct?

Select all that apply.

  1. A

    Business unit 5 will be efficient

  2. B

    Business unit 6 will be efficient

  3. C

    Business unit 5 will be inefficient

  4. D

    Business unit 6 will be inefficient

Show answer

Correct answers

  • B

    Business unit 6 will be efficient

  • C

    Business unit 5 will be inefficient

Question 8

+2 marksOne or more correct options

Which of the following are true:

Select all that apply.

  1. A

    Productive efficiency frontiers are all combinations of outputs such that the production of one unit cannot be increased without sacrificing without sacrificing the other.

  2. B

    Organizations that do not find themselves on the Economic frontier are called inefficient economic units or organizations.

  3. C

    Productive efficiency focuses on maximizing the given output under given constraints without focusing on optimally allocating the products.

  4. D

    DEA focuses on the technology to improve the productive efficiency.

Show answer

Correct answers

  • A

    Productive efficiency frontiers are all combinations of outputs such that the production of one unit cannot be increased without sacrificing without sacrificing the other.

  • B

    Organizations that do not find themselves on the Economic frontier are called inefficient economic units or organizations.

  • C

    Productive efficiency focuses on maximizing the given output under given constraints without focusing on optimally allocating the products.

Question 9

+2 marksOne or more correct options

What is the format of data needed for performing the conjoint analysis using the Statistical or Linear Regression Approach?

Select all that apply.

  1. A

    Consumer Choice Data is Ratings

  2. B

    Consumer Choice Data is Pairwise Comparison

  3. C

    Value of the attributes are continuous

  4. D

    Value of the product attributes are categorical

Show answer

Correct answers

  • A

    Consumer Choice Data is Ratings

  • D

    Value of the product attributes are categorical

Question 10

+1 markNumerical answer

The weekly sales in 4 retail stores selling 3 styles of jeans are given in Table-1. The aim is to see if the sales of jeans (jeans styles) is independent across the different stores. Then answer the given subquestions.

What is the expected number of jeans of Style-B that would be sold in Store-3? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 122 (accepted within ±1)

Question 11

+1 markNumerical answer

The weekly sales in 4 retail stores selling 3 styles of jeans are given in Table-1. The aim is to see if the sales of jeans (jeans styles) is independent across the different stores. Then answer the given subquestions.

How many degrees of freedom does are present in the hypothesis test conducted for this problem? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 6

Question 12

+1 markOne correct option

The weekly sales in 4 retail stores selling 3 styles of jeans are given in Table-1. The aim is to see if the sales of jeans (jeans styles) is independent across the different stores. Then answer the given subquestions.

If the tabulated value for the test statistic is 5.78 and the computed value of the test statistic is 2.7, then which of the following statements are TRUE

  1. A

    Reject the Null and conclude that the sales of jeans (jeans styles) across different stores is independent

  2. B

    Reject the Null and conclude that the sales of jeans (jeans styles) across different stores is NOT independent

  3. C

    Do not reject the Null and conclude that the sales of jeans (jeans styles) across different stores is NOT independent

  4. D

    Cannot say as the alternative hypothesis is not specified

  5. E

    None of these

Show answer

Correct answer

  • E

    None of these

Question 13

+1 markNumerical answer

DMS lighting produces 3 types of bulbs (Type-A, Type-B and Type-C). The probability that a Type-A bulb will give more than 100 hours (>= 100 hours) of life is 0.7, with the corresponding probabilities of Type-B and Type-C bulbs being 0.4 and 0.3 respectively. In any production, 20% of the bulbs are of Type-A, 30% are of Type-B and 50% are of Type-C. Then answer the given subquestions

What is the probability that a bulb from the production lot will give a life of more than 100 hours? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 0.41 (accepted within ±0.01)

Question 14

+1 markNumerical answer

DMS lighting produces 3 types of bulbs (Type-A, Type-B and Type-C). The probability that a Type-A bulb will give more than 100 hours (>= 100 hours) of life is 0.7, with the corresponding probabilities of Type-B and Type-C bulbs being 0.4 and 0.3 respectively. In any production, 20% of the bulbs are of Type-A, 30% are of Type-B and 50% are of Type-C. Then answer the given subquestions

If a randomly selected bulb from the production lot has a life of more than 100 hours, then what is the probability that it was of Type-B? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 0.29 (accepted within ±0.01)

Question 15

+1 markNumerical answer

DMS lighting produces 3 types of bulbs (Type-A, Type-B and Type-C). The probability that a Type-A bulb will give more than 100 hours (>= 100 hours) of life is 0.7, with the corresponding probabilities of Type-B and Type-C bulbs being 0.4 and 0.3 respectively. In any production, 20% of the bulbs are of Type-A, 30% are of Type-B and 50% are of Type-C. Then answer the given subquestions

DMS is giving a replacement warranty for bulbs that last for less than 100 hours of life. The replacement will cost Rs. 2 for every Type-A bulb, Rs. 1.75 for every Type-B bulb and Rs. 3 for every Type-C bulb. Then, if 10,000 bulbs are produced and sold in a year, what would be the total warranty related cost that DMS will expect to incur? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 14850 (accepted within ±1)

Question 16

+2 marksNumerical answer

There are 5 business units where we measure the efficiency based on two outputs and one input. You are solving the optimization problem for business unit 4 and you find that the efficiency is 0.8. You find that the dual variables corresponding to the constraints of business units 3 and 5 are non-zero and the dual variables corresponding to the constraints of other units are zero. The dual variables corresponding to the constraints of business units 3 and 5 are 0.5 and 0.3 respectively. You are given the following table where sales and loyal customers are the two outputs. Answer the given subquestions.

How much is the sales in HCU 4?
Hint: Round-off up to 2 decimal places

Show answer

Correct answer: 11250

Question 17

+2 marksNumerical answer

There are 5 business units where we measure the efficiency based on two outputs and one input. You are solving the optimization problem for business unit 4 and you find that the efficiency is 0.8. You find that the dual variables corresponding to the constraints of business units 3 and 5 are non-zero and the dual variables corresponding to the constraints of other units are zero. The dual variables corresponding to the constraints of business units 3 and 5 are 0.5 and 0.3 respectively. You are given the following table where sales and loyal customers are the two outputs. Answer the given subquestions.

How many loyal customers must be there in HCU 4?
Hint: Round-off up to 2 decimal places

Show answer

Correct answer: 107.5 (accepted within ±0.5)

Question 18

+0.5 marksNumerical answer

Dr. Milo wants to advertise his new brand of tuition centres called “Torture Students”. Currently promotion plans are underway for this year’s admission. Advertising alternatives include TV, Radio and Social Media. The estimated audiences per advertisement (who will enrol after viewing the advertisement) and costs per advertisement for the different alternatives are shown in Table-2. To ensure a balanced use of advertisement media (1) radio advertisements must not exceed 70% of the total number of advertisements authorised (2) amount authorised for TV advertisements should account for at least 30% of the total spending (3) Amount of spending on social media advertisements cannot exceed more than 25% of the other two spending. The promotional budget is limited to Rs. 1,82,000, and Dr. Milo wants to use all the available money to maximize the number of enrolments. Then answer the given subquestions.

How many decision variables (count) are present in the standard form of the primal problem? (Note: Specify the count of variables. Not the count of notations*)*

Show answer

Correct answer: 3

Question 19

+0.5 marksNumerical answer

Dr. Milo wants to advertise his new brand of tuition centres called “Torture Students”. Currently promotion plans are underway for this year’s admission. Advertising alternatives include TV, Radio and Social Media. The estimated audiences per advertisement (who will enrol after viewing the advertisement) and costs per advertisement for the different alternatives are shown in Table-2. To ensure a balanced use of advertisement media (1) radio advertisements must not exceed 70% of the total number of advertisements authorised (2) amount authorised for TV advertisements should account for at least 30% of the total spending (3) Amount of spending on social media advertisements cannot exceed more than 25% of the other two spending. The promotional budget is limited to Rs. 1,82,000, and Dr. Milo wants to use all the available money to maximize the number of enrolments. Then answer the given subquestions.

How many constraints (excluding the non-negativity constraints) are present in the standard form of the primal? (Note: Specify the count of constraints. Not the count of constrains in notation format*)*

Show answer

Correct answer: 5

Question 20

+0.5 marksNumerical answer

Dr. Milo wants to advertise his new brand of tuition centres called “Torture Students”. Currently promotion plans are underway for this year’s admission. Advertising alternatives include TV, Radio and Social Media. The estimated audiences per advertisement (who will enrol after viewing the advertisement) and costs per advertisement for the different alternatives are shown in Table-2. To ensure a balanced use of advertisement media (1) radio advertisements must not exceed 70% of the total number of advertisements authorised (2) amount authorised for TV advertisements should account for at least 30% of the total spending (3) Amount of spending on social media advertisements cannot exceed more than 25% of the other two spending. The promotional budget is limited to Rs. 1,82,000, and Dr. Milo wants to use all the available money to maximize the number of enrolments. Then answer the given subquestions.

If the standard form of the primal is converted to a dual, then how many constraints (excluding the non-negativity constraints) are present in the dual? (Note: Specify the count of constraints. Not the count of constrains in notation format*)*

Show answer

Correct answer: 3

Question 21

+0.5 marksOne correct option

Dr. Milo wants to advertise his new brand of tuition centres called “Torture Students”. Currently promotion plans are underway for this year’s admission. Advertising alternatives include TV, Radio and Social Media. The estimated audiences per advertisement (who will enrol after viewing the advertisement) and costs per advertisement for the different alternatives are shown in Table-2. To ensure a balanced use of advertisement media (1) radio advertisements must not exceed 70% of the total number of advertisements authorised (2) amount authorised for TV advertisements should account for at least 30% of the total spending (3) Amount of spending on social media advertisements cannot exceed more than 25% of the other two spending. The promotional budget is limited to Rs. 1,82,000, and Dr. Milo wants to use all the available money to maximize the number of enrolments. Then answer the given subquestions.

If Dr. Milo has decided to invest Rs. 1,05,000 in TV and Rs. 31,500 in Social Media and Rs. 45,200 in Radio. Then has he acted like a true operations expert and found a Feasible solution?

  1. A

    Yes, he is a great operations expert as the above is a feasible solution

  2. B

    No, he is not an expert but a fraud as the above is NOT a feasible solution

Show answer

Correct answer

  • B

    No, he is not an expert but a fraud as the above is NOT a feasible solution

Question 22

+1 markNumerical answer

Dr. Milo wants to advertise his new brand of tuition centres called “Torture Students”. Currently promotion plans are underway for this year’s admission. Advertising alternatives include TV, Radio and Social Media. The estimated audiences per advertisement (who will enrol after viewing the advertisement) and costs per advertisement for the different alternatives are shown in Table-2. To ensure a balanced use of advertisement media (1) radio advertisements must not exceed 70% of the total number of advertisements authorised (2) amount authorised for TV advertisements should account for at least 30% of the total spending (3) Amount of spending on social media advertisements cannot exceed more than 25% of the other two spending. The promotional budget is limited to Rs. 1,82,000, and Dr. Milo wants to use all the available money to maximize the number of enrolments. Then answer the given subquestions.

For the sake of argument, assume that Dr. Milo is an operations expert (irrespective of your answer to the previous question). Then, for the solution (Rs. 1,05,000 in TV and Rs. 31,500 in Social Media and Rs. 45,200 in Radio are made) how many (count) decision variables in the dual (which is formulated based on the standard form of the primal) will have a non-zero value?

Show answer

Correct answer: 0

Question 23

+1 markNumerical answer

Dr. Milo wants to advertise his new brand of tuition centres called “Torture Students”. Currently promotion plans are underway for this year’s admission. Advertising alternatives include TV, Radio and Social Media. The estimated audiences per advertisement (who will enrol after viewing the advertisement) and costs per advertisement for the different alternatives are shown in Table-2. To ensure a balanced use of advertisement media (1) radio advertisements must not exceed 70% of the total number of advertisements authorised (2) amount authorised for TV advertisements should account for at least 30% of the total spending (3) Amount of spending on social media advertisements cannot exceed more than 25% of the other two spending. The promotional budget is limited to Rs. 1,82,000, and Dr. Milo wants to use all the available money to maximize the number of enrolments. Then answer the given subquestions.

For the sake of argument, assume that Dr. Milo is an operations expert (irrespective of your answer to the previous question). Then, for the solution (where an investment of Rs. 1,05,000 in TV and Rs. 31,500 in Social Media and Rs. 45,200 in Radio are made) what is the objective function value for the standard form of the primal?

Show answer

Correct answer: -791400

Question 24

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the accuracy of the model?
Hint: Round your answer to two decimal places and answer them in terms of percentage. Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 64.2 (accepted within ±0.4)

Question 25

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the precision of class 1?
Hint: Round your answer to two decimal places and answer them in terms of percentage. Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 62.55 (accepted within ±0.25)

Question 26

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the recall of class 1?
Hint: Round your answer to two decimal places and answer them in terms of percentage.Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 71.3 (accepted within ±0.3)

Question 27

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the precision of class 0?
Hint: Round your answer to two decimal places and answer them in terms of percentage. Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 66.625 (accepted within ±0.225)

Question 28

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the recall of class 0?
Hint: Round your answer to two decimal places and answer them in terms of percentage. Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 57.2 (accepted within ±0.3)

Question 29

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the Sensitivity for the model?
Hint: Round your answer to two decimal places and answer them in terms of percentage. Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 71.3 (accepted within ±0.3)

Question 30

+1 markNumerical answer

A travel company wants to understand its model performance of a classification problem where the task is to classify if its customer will be granted with a tourist visa or not (assume granted = Class 1 and Not Granted as Class 0). Using the table given below, answer the given subquestions

S.Noy_acty_pred
1Not GrantedGranted
2Not GrantedNot Granted
3GrantedNot Granted
4GrantedGranted
5GrantedGranted
6Not GrantedGranted
7GrantedGranted
8GrantedNot Granted
9Not GrantedGranted
10Not GrantedNot Granted
11Not GrantedNot Granted
12GrantedGranted
13GrantedGranted
14Not GrantedNot Granted

What is the Specificity for the model?
Hint: Round your answer to two decimal places and answer them in terms of percentage.Example: If your answers is 0.735, write it as 73.50.

Show answer

Correct answer: 57.25 (accepted within ±0.35)

Question 31

+1.5 marksNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the value of “X1” in Model-1? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 0.935 (accepted within ±0.015)

Question 32

+1.5 marksNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the value of “X2” in Model-1? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 0.865 (accepted within ±0.015)

Question 33

+1.5 marksNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the value of “X3” in Model-1? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 0.815 (accepted within ±0.015)

Question 34

+2 marksNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the value of “X4” in Model-1? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 36.5 (accepted within ±0.5)

Question 35

+2 marksNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the value of “X5” in Model-1? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 42 (accepted within ±1)

Question 36

+1 markNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the value of the F-statistic for Model-1? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 16.25 (accepted within ±0.25)

Question 37

+1 markNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the VIF associated with “Initial Age (weeks)”? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 2.25 (accepted within ±0.15)

Question 38

+1 markNumerical answer

A company has developed a new fodder for pigs. To model the “increase in weight of a piglet (in pounds) in one week”, an experiment is performed in which eight piglets were exclusively feed the fodder. Table-3 below provides the data on “Initial weight (pounds)”, “Age of the piglet (weeks)”, “Actual Weight gained after one week (pounds)” and “Predicted Weight gained after one week (pounds)” . The column "Predicted Weight gained after one week (pounds)" is obtained using Model-1

Piglet NumberInitial Weight (pounds)Initial Age (weeks)Actual Weight Gained (pounds)Predicted Weight Gained (pounds)
139876.1
252665.8
349786.3
446121010.0
561999.1
635654.1
725733.9
855444.5

Table-3

The different models developed are presented in the below Figures (which specify the partial regression outputs).
Given this information, answer the given subquestions

SUMMARY OUTPUT

Regression Statistics
Multiple RX1
R SquareX2
Adjusted R SquareX3
Standard Error
Observations8

ANOVA

dfSSMSF
RegressionX4
Residual
TotalX5
CoefficientsStandard Errort Stat
Intercept-4.21.89
Initial Weight (pounds)0.10.03
Initial Age (weeks)0.80.16

Model-1: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression450.76
Residual506.75
Total7
Coefficients
Intercept44.65
Initial Age (weeks)0.09

Model-2: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression22.5
Residual17.37
Total7
Coefficients
Intercept7.22
Initial Weight (pounds)0.004

Model-3: Partial output when regressing “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression33.44
Residual
Total739.875
Coefficients
Intercept5.52
Initial Weight (pounds)1.04
Weight Gained (pounds)-0.11

Model-4: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

ANOVA

dfSS
Regression649.5
Residual308
Total7957.5
Coefficients
Intercept41.48
Initial Age (weeks)-5.19
Weight Gained (pounds)6.5

Model-5: Partial output when regression “Weight Gained (pounds)”, “Initial Weight (pounds)” and “Initial Age (weeks)”

What is the VIF associated with “Initial Weight (pounds)”? (Note: Input your answer rounded to two decimal places. For example, if your answer is “1.235” then enter the answer as “1.24”)

Show answer

Correct answer: 1.845 (accepted within ±0.145)