Dependent variable is SalesR-squared=92.4%S= 1.60VariableConstant: 7.681Sales people 0.9824Coefficient

mpanying data examining the relationship between the amount of sales and the number of sales people working in a small bookstore. Complete parts a through g below. Click the icon to view the data and regression analysis. a) Write the regression equation. Define the variables used in your equation. V =[+0). Round to four decimal places as needed.) b) Interpret the slope in context. Select the correct choice below and fill in the answer box to complete your choice. A. On average, an increase in sales of $1000 for this bookstore is associated with additional sales people/person working. Round to four decimal places as needed.) O B. On average, 1 additional sales person working in this bookstore is associated with an increase in sales of $ Round to the nearest dollar as needed.) c) What does the y-intercept mean in this context? Is it meaningful? A. It means that, on average, the bookstore would be predicted to have $ of sales when it had 0 sales people working. It is meaningful in this context because this value is greater than zero. Round to the nearest dollar as needed.) O B. It would mean that, on average, the bookstore would be predicted to have |sales people working when it had sales of $0. It is not meaningful in this context since there are no data points where there are sales of $0. (Round to four decimal places as needed.) O C. It would mean that, on average, the bookstore would be predicted to have $ of sales when it had 0 sales people working. It is not meaningful in this context because the store would not sell books without sales people. 'Round to the nearest dollar as needed.) O D. It means that, on average, the bookstore would be predicted to have sales people working when it had sales of $0. It is meaningful in this context because this value is greater than zero. (Round to four decimal places as needed.) d) If 6 sales people are working, what is the predicted amount of Sales? The predicted amount of Sales is $. (Round to the nearest dollar as needed.) e) If, on a day when 6 sales people are working, there are $14,000 in sales, what is the value of the residual? Was the amount of sales more or less than predicted? The residual is $. (Round to the nearest dollar as needed.) Was the amount of sales more or less than predicted? O more O less O the same as predicted f) If a day has a residual of $1000 and 14 sales people were working, what was the actual amount of Sales? The actual amount of Sales was $ (Round to the nearest dollar as needed.) g) State and interpret the R value in context. The R2 value is %. This means that % of the in the response variable, is explained successfully by using the explanatory variable (Round to one decimal place as needed.)