The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollar
s) for individual stores based on the number of customers who made purchases. A random sample of 12 stores yields the following results:
Customers | Sales (Thousands of Dollars)
907 | 11.2
926 | 11.05
713 | 8.21
741 | 9.21
780 | 9.42
898 | 10.08
510 | 6.73
529 | 7.02
460 | 6.12
872 | 9.52
650 | 7.53
603 | 7.25
(a) Estimate a linear regression. What are the values of the estimated intercept and slope? Show how you obtain your answer.
Customers | Sales (Thousands of Dollars)
907 | 11.2
926 | 11.05
713 | 8.21
741 | 9.21
780 | 9.42
898 | 10.08
510 | 6.73
529 | 7.02
460 | 6.12
872 | 9.52
650 | 7.53
603 | 7.25
(a) Estimate a linear regression. What are the values of the estimated intercept and slope? Show how you obtain your answer.
1 answer:
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