Question 1
In Regression, “Marginal” slope and “Partial” slope coincide if the explanatory variables are dependent.
TRUE
FALSE
Question 2
The data on emissions from vehicular traffic for the first six months in 2023 and 2022 are provided in the Table below. If an analyst wants to develop a visualization that highlights “The months with the highest increase in emissions in 2023 as compared to 2022”, then which of the formulas would be apt to capture the required information for presentation
(Tons of CO2 Emissions in 2023 - Tons of CO2 Emissions in 2022)/ Tons of CO2 Emissions in 2022
(Tons of CO2 Emissions in 2023 - Tons of CO2 Emissions in 2022)
None of these
Question 3
You are solving a regression problem with 8 explanatory variables. The data has 150 observations, and the R-square value was found to be 0.75. You are adding one more explanatory variable to the dataset, making a total of 9 variables. The adjusted R square value increases to 0.86. What does it signify?
The new variable does not improve the model
The new variable alone has high explanatory power
Adjusted R squared can never be greater than R squared. Calculation error
None of these
28 more questions in this paper
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More on the Business Analytics End Term 30 Apr 2023 Set QPD1-S2 paper
The IIT Madras BS Business Analytics (Business Analytics) End Term paper sat on 30 Apr 2023, in the January 2023 term, set QPD1-S2: 31 questions for 45 marks in 180 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 End Term 30 Apr 2023 Set QPD1-S2 at a glance |
|---|---|
| Term | January 2023 term |
| Subject | Business Analytics |
| Course code | BSMS2002 |
| Questions | 31 |
| Marks | 45 |
| Duration | 180 min |
| MCQ | 9 |
| Numerical | 18 |
| MSQ | 4 |
| Official paper | IIT M DIPLOMA ET1 EXAM QPD1 S2 30 Apr 2023 |
| Negative marking | No negative marking. |
| Updated |