Question 12
The Following Comprehension and Related Subquestions are Purely Hypothetical Table-2 provides the Cumulative Television Rating Points (CTRP), money spend on promotion (in Lakhs, denoted by “P”), and the advertisement revenue (in Lakhs, denoted by “R”) generated over a one-month period for 8 different television programs. The Revenue a TV show makes is the Dependent Variable. Using this data, answer the given subquestions.
| TV Program ID | CTRP | P (in Lakhs) | R (in Lakhs) |
|---|---|---|---|
| TVP001 | 133 | 1.11 | 11.97 |
| TVP002 | 111 | 1.04 | 10.53 |
| TVP003 | 129 | 0.97 | 11.24 |
| TVP004 | 117 | 0.79 | 9.87 |
| TVP005 | 130 | 0.13 | 12.83 |
| TVP006 | 154 | 1.08 | 12.95 |
| TVP007 | 149 | 1.47 | 14.07 |
| TVP008 | 90 | 1.04 | 9.22 |
Table-2
An MLR model to predict “R” is built using all the data in Table-2. If the built model explains ~82.3% of variability in “R”, then what is the value for the Model’s F-statistic?
[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”]