b. Your regression yields the following results: Adjusted R Square 0.763 Coefficient Standard Independent Variables S Error t Stat P-value Intercept 2903 560 5.182 0.00352 P -401.93 84.83 -4.738 0.00516 2.36 7.50 0.315 0.76552 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 summe temperature is 87, for a price of its regular size snow-cone of $3.75. What level of sales would you expect in this new city (rounded to the nearest dollar)