The following estimated regression equation is based on 30 observations. The values of SST and SSR are 1,805 and 1,755, respectively. a. Compute R² (to 3 decimals). b. Compute R₂ (to 3 decimals). c. Comment on the goodness of fit. The estimated regression equation Select your answer - ŷ = 17.8 + 4x1 -2.4x2 +7.4x3 +2.8x4

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The following estimated regression equation is based on 30 observations.

The values of SST (Total Sum of Squares) and SSR (Regression Sum of Squares) are 1,805 and 1,755, respectively.

a. Compute \( R^2 \) (to 3 decimals).  
[Input field for answer]

b. Compute \( R^2_{\text{adj}} \) (to 3 decimals).  
[Input field for answer]

c. Comment on the goodness of fit.

The estimated regression equation: \( \hat{y} = 17.8 + 4x_1 - 2.4x_2 + 7.4x_3 + 2.8x_4 \)

[Dropdown menu to select an answer]
Transcribed Image Text:The following estimated regression equation is based on 30 observations. The values of SST (Total Sum of Squares) and SSR (Regression Sum of Squares) are 1,805 and 1,755, respectively. a. Compute \( R^2 \) (to 3 decimals). [Input field for answer] b. Compute \( R^2_{\text{adj}} \) (to 3 decimals). [Input field for answer] c. Comment on the goodness of fit. The estimated regression equation: \( \hat{y} = 17.8 + 4x_1 - 2.4x_2 + 7.4x_3 + 2.8x_4 \) [Dropdown menu to select an answer]
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