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 athree-year period is shown below. Complete parts a through f.

Sales=145,87724,168Price

a) What is the explanatoryvariable?

a) Price

b) Sales

b) What is the responsevariable?

a) Sales

b) Price

c) What does the slope mean in thiscontext?

A. Price increases by 24,168 dollars per pound.

B. Price decreases by 24,168 dollars per pound.

C. Sales decrease by 24,168 pounds per dollar.

D. Sales increase by 24,168 pounds per dollar.

d) What does they-intercept mean in thiscontext? Is itmeaningful?

A. $145,877 is a base value that is not meaningful because the sales will not be 0 pounds.

B. 145,877 pounds is a base value that is meaningful because the price will be$0.

C. 145,877 pounds is a base value that is not meaningful because the price will not be$0.

D. $145,877 is a base value that is meaningful because the sales will be 0 pounds.

e) What do you predict the sales to be if the average price charged was$3.50 for apizza?

The predicted sales would be __ pounds.

f) If the sales for a price of$3.50 turned out to be60,000 pounds, what would the residualbe?

The residual would be __ pounds.

Please show all work. Thanks!