The following estimated regression equation based on 10 observations was presented. ŷ = 29.1260 + 0.5306x1 + 0.4680x2 The values of SST and SSR are 6,728.125 and 6,215.375, respectively. (a) Find SSE. SSE =  (b) Compute R2. (Round your answer to three decimal places.) R2 =  (c) Compute  Ra2.  (Round your answer to three decimal places.) Ra2 =

Calculus For The Life Sciences
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Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
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The following estimated regression equation based on 10 observations was presented.
ŷ = 29.1260 + 0.5306x1 + 0.4680x2
The values of SST and SSR are 6,728.125 and 6,215.375, respectively.
(a)
Find SSE.
SSE = 
(b)
Compute R2. (Round your answer to three decimal places.)
R2 = 
(c)
Compute 
Ra2.
 (Round your answer to three decimal places.)
Ra2 = 
(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 provided a good fit as a small proportion of the variability in y has been explained by the estimated regression equation.The estimated regression equation did not provide a good fit as a small proportion of the variability in y has been explained by the estimated regression equation.    The estimated regression equation provided a good fit as a large proportion of the variability in y has been explained by the estimated regression equation.
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