The following estimated regression equation based on 10 observations was presented.

=29.1230+0.5306x₁+0.4380x₂

The values of SST and SSR are6,712.125and6,222.375, respectively.

(a)

Find SSE.

SSE =

(b)

ComputeR². (Round your answer to three decimal places.)

R²=

(c)

ComputeR_a².

(Round your answer to three decimal places.)

R_a²=

(d)

Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)

• The estimated regression equation did not provide a good fit as a large proportion of the variability inyhas been explained by the estimated regression equation.
• The estimated regression equation provided a good fit as a large proportion of the variability inyhas been explained by the estimated regression equation.
• The estimated regression equation provided a good fit as a small proportion of the variability inyhas been explained by the estimated regression equation.
• The estimated regression equation did not provide a good fit as a small proportion of the variability inyhas been explained by the estimated regression equation.