# Question: In exercise 3 the following estimated regression equation based on

In exercise 3, the following estimated regression equation based on 30 observations was presented.

y = 17.6 + 3.8x1 – 2.3x2 + 7.6x3 + 2.7x4

The values of SST and SSR are 1805 and 1760, respectively.

a. Compute R2.

b. Compute R2a.

c. Comment on the goodness of fit.

y = 17.6 + 3.8x1 – 2.3x2 + 7.6x3 + 2.7x4

The values of SST and SSR are 1805 and 1760, respectively.

a. Compute R2.

b. Compute R2a.

c. Comment on the goodness of fit.

**View Solution:**## Answer to relevant Questions

In exercise 4, the following estimated regression equation relating sales to inventory investment and advertising expenditures was given.y = 25 + 10x1 + 8x2The data used to develop the model came from a survey of 10 stores; ...PCWorld rated four component characteristics for 10 ultraportable laptop computers: features; performance; design; and price. Each characteristic was rated using a 0–100 point scale. An overall rating, referred to as the ...Refer to the data presented in exercise 2. The estimated regression equation for these data isy = – 218.37 + 2.01x1 + 4.74x2Here SST = 15,182.9, SSR = 14,052.2, sb1 = .2471, and sb2 = .9484.a. Test for a significant ...The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with electronic trades handled by discount brokers. As part of the survey, members were asked to rate ...Recall that in exercise 40 the personnel director for Electronics Associates developed the following estimated regression equation relating an employee’s score on a job satisfaction test to length of service and wage ...Post your question