The following estimated regression equation is based on 30 observations. 18.5+4x12.5x2 +7.6x3 +2.7x4 ŷ The values of SST and SSR are 1,804 and 1,761, respectively. a. Compute R2 (to 3 decimals). b. Compute R (to 3 decimals). c. Comment on the goodness of fit. The estimated regression equation provided an excellent fit

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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Exercise 15.13 Algo (Multiple Coefficient of Determination)
The following estimated regression equation is based on 30 observations.
The values of SST and SSR are 1,804 and 1,761, respectively.
a. Compute R² (to 3 decimals).
X
b. Compute R (to 3 decimals).
ŷ 18.5+ 4x12.5x2 +7.6x3 +2.7x4
=
c. Comment on the goodness of fit.
The estimated regression equation provided an excellent fit
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Transcribed Image Text:Exercise 15.13 Algo (Multiple Coefficient of Determination) The following estimated regression equation is based on 30 observations. The values of SST and SSR are 1,804 and 1,761, respectively. a. Compute R² (to 3 decimals). X b. Compute R (to 3 decimals). ŷ 18.5+ 4x12.5x2 +7.6x3 +2.7x4 = c. Comment on the goodness of fit. The estimated regression equation provided an excellent fit Hide Feedback Partially Correct MEOG 2 Save
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