In: Economics
You work for SneauxCeauxne, the Cajun-inspired crushed-ice dessert company. You’ve collected data on monthly sales (S, number of snow-cones per month) and the price of your regular-size snow-cone (P, in dollars), as well as the daily average summer temperature in your most popular market (T, in degrees Fahrenheit). You estimate the following regression model: S = a + bP + cT. In your regressions, you usually look for a 10%-or-better level of confidence.
a. What signs do you expect for a, b, and c?
b. Your regression yields the following results:
| 
 Adjusted R Square  | 
 0.883  | 
|||
| 
 Independent Variables  | 
 Coefficients  | 
 Standard Error  | 
 t Stat  | 
 P-value  | 
| 
 Intercept  | 
 2718  | 
 598  | 
 4.544  | 
 0.00615  | 
| 
 P  | 
 -641.62  | 
 90.23  | 
 -7.111  | 
 0.00085  | 
| 
 T  | 
 10.32  | 
 6.36  | 
 1.623  | 
 0.16562  | 
Interpret what these coefficients mean.
c. Does price have a statistically significant effect on sales?
d. Does average temperature have a statistically significant effect on sales?
e. What portion of the total variation in sales remains unexplained?
f. SneauxCeauxne is considering selling in a new city, where the average daily summer temperature is 83°, for a price of its regular size snow-cone of $4.10. What level of sales would you expect in this new city (rounded to the nearest dollar)?