The following estimated regression equation based on 10 observations was presented.ŷ 29.1290 + 0.5806x1 +0.4380x2The values of SST and SSR are 6,716.125 and 6,228.375, respectively.(a) Find SSE.SSE =(b) Compute R². (Round your answer to three decimal places.)R²2.(c) Compute R₂². (Round your answer to three decimal places.)Ra(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 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 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.

Step 1: GivenNumber of observations, N=10Number of independent variables,…

Answered: The following estimated regression…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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