A linear model fit to predict weekly Sales of frozen pizza i

A linear model fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($ unit) charged by a sample of stores in a city in 39 weeks over a three-year period is shown below. Complete parts a through f. What is the explanatory variable? What is the response variable? What does the slope mean in this context? Price decreases by 24,948 dollars per pound. Price increases by 24,948 dollars per pound. Sales increase by 24,948 pounds per dollar. Sales decrease by 24,948 pounds per dollar. What does the y-intercept mean in this context? Is it meaningful? $148,145 is a base value that is not meaningful because the sales will not be 0 pounds. $148,145 is a base value that is meaningful because the sales will be 0 pounds. 148,145 pounds is a base value that is meaningful because the price will be $0. 148,145 pounds is a base value that is not meaningful because the price will not be $0.

Solution

d)

The y-intercept is the value of y when x = 0.

Thus, here, it is the Sales when the price is 0 (which will never happen!).

Thus, it is OPTION D: 148145 pounds is a base value that is not meaningful because the price will never be 0. [ANSWER]