Executives of a video rental chain want to predict the success of a potential new store. The company's researcher begins by gathering information on number of rentals and average family income from several of the chain's present outlets.

Rentals Average Family Income ($1,000)

710 .............65

529 .............43

314 .............29

504 .............47

619 .............52

428 .............50

317 .............46

205 .............29

468 .............31

545 .............43

607 .............49

694 .............64

Develop a regression model to predict the number of rentals per day by the average family income. Comment on the output.