# Question: The data from exercise 1 follow The estimated

The data from exercise 1 follow.

The estimated regression equation for these data is y = .20 + 2.60x.

a. Compute SSE, SST, and SSR using equations (12.8), (12.9), and (12.10).

b. Compute the coefficient of determination r2. Comment on the goodness of fit.

c. Compute the sample correlationcoefficient.

The estimated regression equation for these data is y = .20 + 2.60x.

a. Compute SSE, SST, and SSR using equations (12.8), (12.9), and (12.10).

b. Compute the coefficient of determination r2. Comment on the goodness of fit.

c. Compute the sample correlationcoefficient.

## Answer to relevant Questions

The data from exercise 2 follow.The estimated regression equation for these data is y = 68 – 3x.a. Compute SSE, SST, and SSR.b. Compute the coefficient of determination r2. Comment on the goodness of fit.c. Compute the ...Refer to exercise 9 where the following data were used to investigate the relationship between the number of cars in service (1000s) and the annual revenue ($millions) for six smaller car rental companies (auto Rental News ...In exercise 20, data on x = weight (pounds) and y = price ($) for 10 road-racing bikes provided the estimated regression equation y = 28,574 – 1439x. (Bicycling website March 8, 2012). For these data SSE = 7,102,922.54 and ...A regression model relating x, number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars), provided the following computer output from a regression analysis of the data.a. Write ...The following data show Morningstar’s Fair Value estimate and the Share Price for 28 companies. Fair Value is an estimate of a company’s value per share that takes into account estimates of the company’s growth, ...Post your question