Question 1
“Latent demand” in a demand-response curve refers to?
The area under the curve beyond the optimal price
The Quantity at the optimal price
The quantity at a price above the optimal price
None of these

The IIT Madras BS Business Analytics (Business Analytics) Quiz 2 paper sat on 3 Dec 2023, in the September 2023 term: 20 questions for 20 marks in 120 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.
“Latent demand” in a demand-response curve refers to?
The area under the curve beyond the optimal price
The Quantity at the optimal price
The quantity at a price above the optimal price
None of these
Correct answer
None of these
In Multiple Linear Regression, the “R” represents ___________ (choose all those that are applicable)
Correlation between the dependent variable and all independent variables
Correlation between the actual and predicted values of the dependent variable
Correlation between the predicted value of the dependent variable and the actual value of the independent variable
Correlation between the errors
Correlation between the actual and predicted value of any given independent variable
Correlation between the actual value of the dependent variable and the predicted value of the errors
None of these
Correct answer
Correlation between the actual and predicted values of the dependent variable
For the regression output provided in Figure-1, answer the given subquestions.
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
SUMMARY OUTPUT
| Regression Statistics | |
|---|---|
| Multiple R | 1 |
| R Square | 1 |
| Adjusted R Square | 1 |
| Standard Error | 1.92403E-15 |
| Observations | A1 |
ANOVA
| df | SS | MS | F | Significance F | |
|---|---|---|---|---|---|
| Regression | A3 | 905.7333333 | A4 | ||
| Residual | 12 | ||||
| Total | 14 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
|---|---|---|---|---|---|---|---|---|
| Intercept | 7.10543E-15 | 3.48311E-15 | -4.83607E-16 | 1.46945E-14 | -4.83607E-16 | 1.46945E-14 | ||
| X Variable 1 | 2 | 1.57612E-16 | 2 | 2 | 2 | 2 | ||
| X Variable 2 | 3 | 2.25138E-16 | 3 | 3 | 3 | 3 |
Figure-1: Partial Excel Regression Model Output
What is the value of “A1” in the figure?
Correct answer: 15
For the regression output provided in Figure-1, answer the given subquestions.
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
SUMMARY OUTPUT
| Regression Statistics | |
|---|---|
| Multiple R | 1 |
| R Square | 1 |
| Adjusted R Square | 1 |
| Standard Error | 1.92403E-15 |
| Observations | A1 |
ANOVA
| df | SS | MS | F | Significance F | |
|---|---|---|---|---|---|
| Regression | A3 | 905.7333333 | A4 | ||
| Residual | 12 | ||||
| Total | 14 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
|---|---|---|---|---|---|---|---|---|
| Intercept | 7.10543E-15 | 3.48311E-15 | -4.83607E-16 | 1.46945E-14 | -4.83607E-16 | 1.46945E-14 | ||
| X Variable 1 | 2 | 1.57612E-16 | 2 | 2 | 2 | 2 | ||
| X Variable 2 | 3 | 2.25138E-16 | 3 | 3 | 3 | 3 |
Figure-1: Partial Excel Regression Model Output
How many columns are present in the sample used to develop the regression model (all the columns present in the sample)?
Correct answer: 3
For the regression output provided in Figure-1, answer the given subquestions.
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
SUMMARY OUTPUT
| Regression Statistics | |
|---|---|
| Multiple R | 1 |
| R Square | 1 |
| Adjusted R Square | 1 |
| Standard Error | 1.92403E-15 |
| Observations | A1 |
ANOVA
| df | SS | MS | F | Significance F | |
|---|---|---|---|---|---|
| Regression | A3 | 905.7333333 | A4 | ||
| Residual | 12 | ||||
| Total | 14 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
|---|---|---|---|---|---|---|---|---|
| Intercept | 7.10543E-15 | 3.48311E-15 | -4.83607E-16 | 1.46945E-14 | -4.83607E-16 | 1.46945E-14 | ||
| X Variable 1 | 2 | 1.57612E-16 | 2 | 2 | 2 | 2 | ||
| X Variable 2 | 3 | 2.25138E-16 | 3 | 3 | 3 | 3 |
Figure-1: Partial Excel Regression Model Output
What is the value for “A3” in the figure?
Correct answer: 2
For the regression output provided in Figure-1, answer the given subquestions.
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
SUMMARY OUTPUT
| Regression Statistics | |
|---|---|
| Multiple R | 1 |
| R Square | 1 |
| Adjusted R Square | 1 |
| Standard Error | 1.92403E-15 |
| Observations | A1 |
ANOVA
| df | SS | MS | F | Significance F | |
|---|---|---|---|---|---|
| Regression | A3 | 905.7333333 | A4 | ||
| Residual | 12 | ||||
| Total | 14 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
|---|---|---|---|---|---|---|---|---|
| Intercept | 7.10543E-15 | 3.48311E-15 | -4.83607E-16 | 1.46945E-14 | -4.83607E-16 | 1.46945E-14 | ||
| X Variable 1 | 2 | 1.57612E-16 | 2 | 2 | 2 | 2 | ||
| X Variable 2 | 3 | 2.25138E-16 | 3 | 3 | 3 | 3 |
Figure-1: Partial Excel Regression Model Output
What is the value for “A4” in the figure?
Correct answer: 452.5 (accepted within ±0.5)
For the regression output provided in Figure-1, answer the given subquestions.
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
SUMMARY OUTPUT
| Regression Statistics | |
|---|---|
| Multiple R | 1 |
| R Square | 1 |
| Adjusted R Square | 1 |
| Standard Error | 1.92403E-15 |
| Observations | A1 |
ANOVA
| df | SS | MS | F | Significance F | |
|---|---|---|---|---|---|
| Regression | A3 | 905.7333333 | A4 | ||
| Residual | 12 | ||||
| Total | 14 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
|---|---|---|---|---|---|---|---|---|
| Intercept | 7.10543E-15 | 3.48311E-15 | -4.83607E-16 | 1.46945E-14 | -4.83607E-16 | 1.46945E-14 | ||
| X Variable 1 | 2 | 1.57612E-16 | 2 | 2 | 2 | 2 | ||
| X Variable 2 | 3 | 2.25138E-16 | 3 | 3 | 3 | 3 |
Figure-1: Partial Excel Regression Model Output
Which of the following variables are “NOT Significant”? (choose all that is applicable)
X Variable 1
X Variable 2
None of these
Correct answer
None of these
The demand for Diyas at a shop is as given in below figure. If the demand is expected to follow a constant elasticity curve, then answer the given subquestions
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
What is the elasticity of the demand response curve?
Correct answer: 0.34 (accepted within ±0.02)
The demand for Diyas at a shop is as given in below figure. If the demand is expected to follow a constant elasticity curve, then answer the given subquestions
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
What is the demand at a price of Rs. 35?
Correct answer: 35.5 (accepted within ±1.5)
The demand for Diyas at a shop is as given in below figure. If the demand is expected to follow a constant elasticity curve, then answer the given subquestions
Note: For all questions in this comprehension, enter your answer in decimals rounded to two decimal places. For example, if your answer is “20.3247” then enter it as “20.32”
Based on the elasticity what can be the conclusion?
The demand is elastic
The demand is in-elastic
Need more information to comment on elasticity
Correct answer
The demand is in-elastic
The primal formulation of a production planning problem, where the objective is to maximizing the total profit is formulated as specified below.
Maximize: 225*X1 + 200*X2 + 165*X3
Subject to the following constraints
| 13*X1 + 26*X2 + 71*X3 <= 100012 | Constraint-1 |
|---|---|
| 45*X1 + 10*X2 + 5*X3 <= 100000 | Constraint-2 |
| 12*X1 + 15*X2 + 34*X3 <= 100000 | Constraint-3 |
| 0*X1 + 45*X2 + 4*X3 <= 100000 | Constraint-4 |
| X1 >=0 | Constraint-5 |
| X2 >=0 | Constraint-6 |
| X3 >=0 | Constraint-7 |
Based on the above data, answer the given subquestions.
How many constraints will be present in the dual formulation (after converting the primal to the standard form)?
Correct answer: 3
The primal formulation of a production planning problem, where the objective is to maximizing the total profit is formulated as specified below.
Maximize: 225*X1 + 200*X2 + 165*X3
Subject to the following constraints
| 13*X1 + 26*X2 + 71*X3 <= 100012 | Constraint-1 |
|---|---|
| 45*X1 + 10*X2 + 5*X3 <= 100000 | Constraint-2 |
| 12*X1 + 15*X2 + 34*X3 <= 100000 | Constraint-3 |
| 0*X1 + 45*X2 + 4*X3 <= 100000 | Constraint-4 |
| X1 >=0 | Constraint-5 |
| X2 >=0 | Constraint-6 |
| X3 >=0 | Constraint-7 |
Based on the above data, answer the given subquestions.
How many decision variables will be present in the dual formulation? (after converting the primal to the standard form)
Correct answer: 4
The primal formulation of a production planning problem, where the objective is to maximizing the total profit is formulated as specified below.
Maximize: 225*X1 + 200*X2 + 165*X3
Subject to the following constraints
| 13*X1 + 26*X2 + 71*X3 <= 100012 | Constraint-1 |
|---|---|
| 45*X1 + 10*X2 + 5*X3 <= 100000 | Constraint-2 |
| 12*X1 + 15*X2 + 34*X3 <= 100000 | Constraint-3 |
| 0*X1 + 45*X2 + 4*X3 <= 100000 | Constraint-4 |
| X1 >=0 | Constraint-5 |
| X2 >=0 | Constraint-6 |
| X3 >=0 | Constraint-7 |
Based on the above data, answer the given subquestions.
If the optimal solution of the primal is X1= 1701, X2= 2196, X3= 293. Then, how many decision variables will have a value of “0” in the optimal solution of the dual (after converting the primal to the standard form)?
Correct answer: 3
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
If “Female” is categorised as the positive class (that is Y=1), then how many “True Positives” are present? (Note: do not convert to percentage, give actual count)
Correct answer: 142
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
If “Female” is categorised as the positive class (that is Y=1), then how many “True Negatives” are present? (Note: do not convert to percentage, give actual count)
Correct answer: 120
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
If “Female” is categorised as the positive class (that is Y=1), then how many “False Positives” are present? (Note: do not convert to percentage, give actual count)
Correct answer: 9
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
If “Female” is categorised as the positive class (that is Y=1), then how many “False Negatives” are present? (Note: do not convert to percentage, give actual count)
Correct answer: 29
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
What is the accuracy of the AI system?
Correct answer: 87 (accepted within ±1)
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
What is the “Precision” of the AI system for predicting “Male” class?
Correct answer: 81 (accepted within ±1)
An AI system is being tested by a bank to identify the customer traffic. It is currently implemented at a single branch. The AI system uses a logistic model in the backend and its primary purpose (at the moment) is to classify customers as “Male” or “Female”. In the past week, a total of 300 willing participants took part in a trial run of the AI system. Among the 300 participants, 129 were “Male” and the remaining were “Female”. Among the “Male” participants, the system correctly identified 120 as “Male” and the rest were identified as “Female”. Among the “Female” participants, the system correctly identified 142 as “Female” and the rest were identified as “Male”.
Then answer the given subquestions
Note: For all questions in this comprehension, where ever applicable enter your answer in PERCENTAGE rounded to two decimal places without the percentage sign. For example, if your answer is “20.324%” then enter it as “20.32”
What is the “Recall” of the AI system for predicting the “Female” class?
Correct answer: 83 (accepted within ±1)