Mathematics, 03.08.2021 04:50, briannaparker11

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.

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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.

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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.