Business Analytics End Term: 31 August 2025, Set QDD1 (May 2025 term)

The Following Comprehension and Related Questions are Purely Hypothetical
MiloBurgers, a fast-food restaurant sells two types of products: “Double Cheese Veggy” (DCV) burgers and “Cheese Veggy” (CV) burgers. The DCV uses 0.5Kg of cheese and the CV uses only 0.2kg of cheese. The restaurant starts the day with 200Kg of cheese but may order more at an additional cost of ₹25 per Kg to cover the delivery cost. Any surplus cheese at the end of the day is donated to charity. MiloBurgers sells a DCV for ₹100 and a CV for ₹80. All in all, MiloBurgers does not expect to sell more than 900 items in total during a day and the owner wants to maximizes the profit for the coming day. Assume that whatever combination is made (a solution to the problem) can be sold. Given this information, answer the given subquestions.

How many decision variables are present in the standard form of the primal, if the given problem is formulated as a Linear Programming Problem?

The Following Comprehension and Related Questions are Purely Hypothetical
MiloBurgers, a fast-food restaurant sells two types of products: “Double Cheese Veggy” (DCV) burgers and “Cheese Veggy” (CV) burgers. The DCV uses 0.5Kg of cheese and the CV uses only 0.2kg of cheese. The restaurant starts the day with 200Kg of cheese but may order more at an additional cost of ₹25 per Kg to cover the delivery cost. Any surplus cheese at the end of the day is donated to charity. MiloBurgers sells a DCV for ₹100 and a CV for ₹80. All in all, MiloBurgers does not expect to sell more than 900 items in total during a day and the owner wants to maximizes the profit for the coming day. Assume that whatever combination is made (a solution to the problem) can be sold. Given this information, answer the given subquestions.

How many decision variables are present in the Dual form (which is formulated based on the standard form of the primal) if the given problem is formulated as Linear Programming Problem?

The Following Comprehension and Related Questions are Purely Hypothetical
MiloBurgers, a fast-food restaurant sells two types of products: “Double Cheese Veggy” (DCV) burgers and “Cheese Veggy” (CV) burgers. The DCV uses 0.5Kg of cheese and the CV uses only 0.2kg of cheese. The restaurant starts the day with 200Kg of cheese but may order more at an additional cost of ₹25 per Kg to cover the delivery cost. Any surplus cheese at the end of the day is donated to charity. MiloBurgers sells a DCV for ₹100 and a CV for ₹80. All in all, MiloBurgers does not expect to sell more than 900 items in total during a day and the owner wants to maximizes the profit for the coming day. Assume that whatever combination is made (a solution to the problem) can be sold. Given this information, answer the given subquestions.

If the restaurant decides to make 450 DCVs and 450 CVs, then what is the value of the objective function for the linear program which is in the standard form of the primal? [Note: Enter your answer in decimal rounded to two decimal places. For example, if your answer is 1.235 then enter the answer as “1.24”]

The Following Comprehension and Related Questions are Purely Hypothetical
MiloBurgers, a fast-food restaurant sells two types of products: “Double Cheese Veggy” (DCV) burgers and “Cheese Veggy” (CV) burgers. The DCV uses 0.5Kg of cheese and the CV uses only 0.2kg of cheese. The restaurant starts the day with 200Kg of cheese but may order more at an additional cost of ₹25 per Kg to cover the delivery cost. Any surplus cheese at the end of the day is donated to charity. MiloBurgers sells a DCV for ₹100 and a CV for ₹80. All in all, MiloBurgers does not expect to sell more than 900 items in total during a day and the owner wants to maximizes the profit for the coming day. Assume that whatever combination is made (a solution to the problem) can be sold. Given this information, answer the given subquestions.

If the restaurant decides to make 450 DCVs and 450 CVs, then how many decision variables in the Dual form (which is formulated based on the standard form of the primal) will have a value of “0”, if the given problem is formulated as Linear Programming Problem?

The Following Comprehension and Related Questions are Purely Hypothetical
MiloBurgers, a fast-food restaurant sells two types of products: “Double Cheese Veggy” (DCV) burgers and “Cheese Veggy” (CV) burgers. The DCV uses 0.5Kg of cheese and the CV uses only 0.2kg of cheese. The restaurant starts the day with 200Kg of cheese but may order more at an additional cost of ₹25 per Kg to cover the delivery cost. Any surplus cheese at the end of the day is donated to charity. MiloBurgers sells a DCV for ₹100 and a CV for ₹80. All in all, MiloBurgers does not expect to sell more than 900 items in total during a day and the owner wants to maximizes the profit for the coming day. Assume that whatever combination is made (a solution to the problem) can be sold. Given this information, answer the given subquestions.

If the restaurant decides to make 450 DCVs and 450 CVs, then which of the following option is correct

The Following Comprehension and Related Questions are Purely Hypothetical
A company has collected data on the average monthly electricity consumed for air conditioning (dependent variable) relative to (i) Average ambient temperature of the month, (ii) Total number of working days in the month and (iii) Average number of employees who have worked in that month. This data is provided in Table-1. Additionally, the correlation matrix for the different variables in Table-1 is provided in Figure-1. Given this information, answer the given subquestions.

Table-1: Electricity consumption data

Figure-1: Correlation Matrix for Data in Table-1

What is the total variability in the dependent variable? [Note: Enter your answer in decimal rounded to two decimal places. For example, if your answer is 1.235 then enter the answer as “1.24”]

The Following Comprehension and Related Questions are Purely Hypothetical
A company has collected data on the average monthly electricity consumed for air conditioning (dependent variable) relative to (i) Average ambient temperature of the month, (ii) Total number of working days in the month and (iii) Average number of employees who have worked in that month. This data is provided in Table-1. Additionally, the correlation matrix for the different variables in Table-1 is provided in Figure-1. Given this information, answer the given subquestions.

Table-1: Electricity consumption data

Figure-1: Correlation Matrix for Data in Table-1

What is the expected percentage inflation (increase) in the standard error of the beta value corresponding to “Average Number of Employees who have Worked” due to “Total Number of Working Days” if a model with only these two variables is built for predicting “Average Electricity Consumed”? [Note: Enter your answer in “PERCENTAGE” rounded to two decimal places without the percentage symbol. For example, if your answer is 1.235% then enter the answer as “1.24”]

The Following Comprehension and Related Questions are Purely Hypothetical
A company has collected data on the average monthly electricity consumed for air conditioning (dependent variable) relative to (i) Average ambient temperature of the month, (ii) Total number of working days in the month and (iii) Average number of employees who have worked in that month. This data is provided in Table-1. Additionally, the correlation matrix for the different variables in Table-1 is provided in Figure-1. Given this information, answer the given subquestions.

Table-1: Electricity consumption data

Figure-1: Correlation Matrix for Data in Table-1

Based on the expected percentage inflation (increase) in the standard error of the beta value corresponding to “Average Number of Employees who have Worked” due to “Total Number of Working Days” if a model with only these two variables is built for predicting “Average Electricity Consumed”, which of the following statements is/are TRUE (choose all that is applicable)?

The computed p-value of a chi-square goodness-of-fit test is 0.167. Then, which of the following statements are TRUE

Say you build a multiple regression model using 6 independent variables and 20 data points. This is called Model-1. The R-Square for Model-1 is 94%. You then decide to add four more variables (such that the sample size is still 20) to the model and develop a new model called Model-2. The R- Squared for Model-2 is 95%. Then which of the following statements is/are TRUE?

The Following Question is Purely Hypothetical
Your family is seeking an alliance for you and has found three matrimonial services “X”, “Y” and “Z”. Assume that the enrolment in the matrimonial services is mutually exclusive. A market survey indicates that 40% of total enrolments are in “X”, 35% are in “Y” and the remaining are in “Z”. The market survey also indicates that 25% of registrations in “X” find a suitable match, 40% in “Y” find a suitable match, and 30% in “Z” find a suitable match. Recently, your family has heard the news that a relative “P” has not found a suitable match after enrolling in one of the matrimonial services. Then which matrimonial service would you suspect “P” to have enrolled in?

The Following Comprehension and Related Questions are Purely Hypothetical
A manufacturer produces lenses for sunglasses. In a given day, a total of 100 products were produced. Products produced can have anywhere between no scratches to 3 scratches. From past experience, it is seen that the lenses break if it has more than 3 scratches. Broken lenses are not included in the 100 units which are provided to you. On examining the 100 units, the below Table- 2 on the products with scratches is determined. Based on the production lot of 100 units (given sample), you are asked to check if the “Number of Scratches on produced lenses” follows a Poisson Distribution. Given this information, answer the given subquestions.

What would be the mean of the distribution, if you want to check the hypothesis “The number of scratches on a produced lens follows a Poisson Distribution”? [Note: Enter your answer rounded to two decimal places. For example, if your answer is 1.235 then enter the answer as “1.24”]

The Following Comprehension and Related Questions are Purely Hypothetical
A manufacturer produces lenses for sunglasses. In a given day, a total of 100 products were produced. Products produced can have anywhere between no scratches to 3 scratches. From past experience, it is seen that the lenses break if it has more than 3 scratches. Broken lenses are not included in the 100 units which are provided to you. On examining the 100 units, the below Table- 2 on the products with scratches is determined. Based on the production lot of 100 units (given sample), you are asked to check if the “Number of Scratches on produced lenses” follows a Poisson Distribution. Given this information, answer the given subquestions.

Which of the following is the correct PMF formula for a Poisson Distribution?

The Following Comprehension and Related Questions are Purely Hypothetical
A manufacturer produces lenses for sunglasses. In a given day, a total of 100 products were produced. Products produced can have anywhere between no scratches to 3 scratches. From past experience, it is seen that the lenses break if it has more than 3 scratches. Broken lenses are not included in the 100 units which are provided to you. On examining the 100 units, the below Table- 2 on the products with scratches is determined. Based on the production lot of 100 units (given sample), you are asked to check if the “Number of Scratches on produced lenses” follows a Poisson Distribution. Given this information, answer the given subquestions.

How many (count) of degrees of freedom will be presented for the computed test statistic for this problem if you want to check the hypothesis “The number of scratches on a produced lens follows a Poisson Distribution”?

The Following Comprehension and Related Questions are Purely Hypothetical
A manufacturer produces lenses for sunglasses. In a given day, a total of 100 products were produced. Products produced can have anywhere between no scratches to 3 scratches. From past experience, it is seen that the lenses break if it has more than 3 scratches. Broken lenses are not included in the 100 units which are provided to you. On examining the 100 units, the below Table- 2 on the products with scratches is determined. Based on the production lot of 100 units (given sample), you are asked to check if the “Number of Scratches on produced lenses” follows a Poisson Distribution. Given this information, answer the given subquestions.

What is the value of the computed test statistic for the test to be performed if you want to check the hypothesis “The number of scratches on a produced lens follows a Poisson Distribution”? [Note: Enter your answer rounded to two decimal places. For example, if your answer is 1.235 then enter the answer as “1.24”]

The Following Comprehension and Related Questions are Purely Hypothetical
A manufacturer produces lenses for sunglasses. In a given day, a total of 100 products were produced. Products produced can have anywhere between no scratches to 3 scratches. From past experience, it is seen that the lenses break if it has more than 3 scratches. Broken lenses are not included in the 100 units which are provided to you. On examining the 100 units, the below Table- 2 on the products with scratches is determined. Based on the production lot of 100 units (given sample), you are asked to check if the “Number of Scratches on produced lenses” follows a Poisson Distribution. Given this information, answer the given subquestions.

Based on the computed test statistic for the test to be performed, using Figure-2, at a significance level of 10% what will be concluded (choose all that are correct)?

Figure-2: Chi-Square Table

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the accuracy of the logistic regression model?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the precision of class 1?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the recall of class 1?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the precision of class 0?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the recall of class 0?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the correct interpretation of the coefficient β1? (Select all that apply)

Assume that you have trained a logistic regression model on a training dataset containing features X1 and X2. The coefficients obtained and threshold are given in Table 1.

Predict the target variable (y_pred) in the test dataset (Table 2) using the available information.

Table 2: Test Dataset

Table 3: Actual Target Variable

Based on the available information, answer the given subquestions:

What is the correct interpretation of the coefficient β2? (Select all that apply)

There are six business units. There are two outputs and one input under consideration. You are solving the optimization problem for business unit 3, and you find that the efficiency is 0.9. You see that the dual variables corresponding to the constraints of business units 2 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 2 and 5 are 0.55 and 0.35, respectively. Based on Table 4, answers the given subquestions.
Hint: At every step, round off your answers to 4 decimal places.

How much will the Output 1 in HCU 3?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 1000.63545, then enter the answer as “1000.6355”]

There are six business units. There are two outputs and one input under consideration. You are solving the optimization problem for business unit 3, and you find that the efficiency is 0.9. You see that the dual variables corresponding to the constraints of business units 2 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 2 and 5 are 0.55 and 0.35, respectively. Based on Table 4, answers the given subquestions.
Hint: At every step, round off your answers to 4 decimal places.

How much will the Output 2 in HCU 3?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 1000.63545, then enter the answer as “1000.6355”]

We are interested in understanding the efficiency of 5 Sales Offices. Each of the Sales Offices has an approved budget and a team size for achieving a fixed target of 10,00,000. As a Business Analyst, you must formulate a DEA problem using Linear programming for the Sales Office 2. Answer the given subquestions using the Table below.

What is the objective function?

We are interested in understanding the efficiency of 5 Sales Offices. Each of the Sales Offices has an approved budget and a team size for achieving a fixed target of 10,00,000. As a Business Analyst, you must formulate a DEA problem using Linear programming for the Sales Office 2. Answer the given subquestions using the Table below.

What is the type constraint?

We are interested in understanding the efficiency of 5 Sales Offices. Each of the Sales Offices has an approved budget and a team size for achieving a fixed target of 10,00,000. As a Business Analyst, you must formulate a DEA problem using Linear programming for the Sales Office 2. Answer the given subquestions using the Table below.

Which of them is not a constraint for the LP problem pertaining to Sales Office 2? (Select all that apply)

You are in the process of selecting an ideal car when a lot of options are available. For example, the three brands that have been on top of your mind are: Maruti, Hyundai, and Volkswagen. Similarly, there are 2 engine options that are highly efficient: 1000 CC and 1500 CC. Lastly, the type of automatic gearbox is another important variable in deciding the ideal car. There are 3 gearbox options available: AMT, AT and DSC. Also, assume that Maruti is the least preferred brand, and assume AMT is the least preferred gearbox. Based on the inputs available, you build a regression model, and the coefficients are given below in Figure 1.

SUMMARY OUTPUT

ANOVA

Figure 1: Regression Summary

Based on the above data, answer the given subquestions.

What is the part worth to customers if he/she upgrades from Maruti to Volkswagen?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 1000.63545, then enter the answer as “1000.6355”]

You are in the process of selecting an ideal car when a lot of options are available. For example, the three brands that have been on top of your mind are: Maruti, Hyundai, and Volkswagen. Similarly, there are 2 engine options that are highly efficient: 1000 CC and 1500 CC. Lastly, the type of automatic gearbox is another important variable in deciding the ideal car. There are 3 gearbox options available: AMT, AT and DSC. Also, assume that Maruti is the least preferred brand, and assume AMT is the least preferred gearbox. Based on the inputs available, you build a regression model, and the coefficients are given below in Figure 1.

SUMMARY OUTPUT

ANOVA

Figure 1: Regression Summary

Based on the above data, answer the given subquestions.

How much is the weightage provided by the customer for the Brand?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

You are in the process of selecting an ideal car when a lot of options are available. For example, the three brands that have been on top of your mind are: Maruti, Hyundai, and Volkswagen. Similarly, there are 2 engine options that are highly efficient: 1000 CC and 1500 CC. Lastly, the type of automatic gearbox is another important variable in deciding the ideal car. There are 3 gearbox options available: AMT, AT and DSC. Also, assume that Maruti is the least preferred brand, and assume AMT is the least preferred gearbox. Based on the inputs available, you build a regression model, and the coefficients are given below in Figure 1.

SUMMARY OUTPUT

ANOVA

Figure 1: Regression Summary

Based on the above data, answer the given subquestions.

How much is the weightage provided by the customer for the Engine?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]

You are in the process of selecting an ideal car when a lot of options are available. For example, the three brands that have been on top of your mind are: Maruti, Hyundai, and Volkswagen. Similarly, there are 2 engine options that are highly efficient: 1000 CC and 1500 CC. Lastly, the type of automatic gearbox is another important variable in deciding the ideal car. There are 3 gearbox options available: AMT, AT and DSC. Also, assume that Maruti is the least preferred brand, and assume AMT is the least preferred gearbox. Based on the inputs available, you build a regression model, and the coefficients are given below in Figure 1.

SUMMARY OUTPUT

ANOVA

Figure 1: Regression Summary

Based on the above data, answer the given subquestions.

How much is the weightage provided by the customer for the Gearbox?
[Note: Enter your answer in decimal rounded to four decimal places. For example, if your answer is 0.635450, then enter the answer as “63.5450”]