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
“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
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
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?
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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. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Business Analytics Quiz 2 3 Dec 2023 at a glance |
|---|---|
| Term | September 2023 term |
| Subject | Business Analytics |
| Course code | BSMS2002 |
| Questions | 20 |
| Marks | 20 |
| Duration | 120 min |
| MCQ | 2 |
| MSQ | 2 |
| Numerical | 16 |
| Official paper | IIT M DIPLOMA AN2 EXAM QDD2 03 Dec 2023 |
| Negative marking | No negative marking. |
| Updated |