8. You notice that temperature has a statistically significant effect on c-store sales in all of...

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8. You notice that temperature has a statistically significant effect on c-store sales in all of your recent regressions. You believe that the coefficients of temperature in your regressions somewhat overstate the effect of temperature on c-store sales for weeks in which there is a holiday. You know that the French love their holidays and often take advantage of their free time by taking car trips. That means they will be visiting c-stores during holidays even if the weather is bad. Therefore, you believe that temperature will have a significantly stronger effect on c-store sales in weeks without a holiday than in weeks with a holiday. Modify your regression from Question 5 to examine your hunch. a. Again, drop all variables from your regression that do not meet Tyler's desired level of significance. Report your final regression equation. b. Can you prove your hunch? c. Calculate estimates for c-store sales for weeks with, and without, a holiday when the following conditions exist: TV GRPs of 50 and radio GRPs of 40; a fuel volume of 63,000 liters; a fuel price of 1.20; an average high temperature of 20C and precipitation of 1 cm; and 6 percent of survey responses indicating 1 or 2 visits. 8. You notice that temperature has a statistically significant effect on c-store sales in all of your recent regressions. You believe that the coefficients of temperature in your regressions somewhat overstate the effect of temperature on c-store sales for weeks in which there is a holiday. You know that the French love their holidays and often take advantage of their free time by taking car trips. That means they will be visiting c-stores during holidays even if the weather is bad. Therefore, you believe that temperature will have a significantly stronger effect on c-store sales in weeks without a holiday than in weeks with a holiday. Modify your regression from Question 5 to examine your hunch. a. Again, drop all variables from your regression that do not meet Tyler's desired level of significance. Report your final regression equation. b. Can you prove your hunch? c. Calculate estimates for c-store sales for weeks with, and without, a holiday when the following conditions exist: TV GRPs of 50 and radio GRPs of 40; a fuel volume of 63,000 liters; a fuel price of 1.20; an average high temperature of 20C and precipitation of 1 cm; and 6 percent of survey responses indicating 1 or 2 visits.