The output below is from a multiple linear regression analysis attempting to link winning percentage (y) to weekly practice time (x 1 ), average speed of first serve (x 2 ), and first serve percentage (x 3 ) using data from a group of 12 professional tennis players over the past year Notice that some of the values in the table are missing a Fill in the missing values indicated by () b Identify and interpret the estimated regression coefficients for x 1 , x 2 , and x 3 Regression Statistics Multiple R uare Adjusted R Sq Standard Error Observations 0 767 11 557 12 ANOVA df Regressiorn Error (Residual) Total 5226 547 Coeff Intercept avg serve speed (mph) weekly practice hours first serve 58 050 0 418 1 806 0 419

Question: The output below is from a multiple linear regression analysis attempting to link winning percentage (y) to weekly practice time (x 1 ), average speed

The output below is from a multiple linear regression analysis attempting to link winning percentage (y) to weekly practice time (x₁), average speed of first serve (x₂), and first serve percentage (x₃) using data from a group of 12 professional tennis players over the past year. Notice that some of the values in the table are missing.

Regression Statistics Multiple R uare Adjusted R Sq Standard Error Observations 0.767

a. Fill in the missing values indicated by ().

b. Identify and interpret the estimated regression coefficients for x₁, x₂, and x₃.

Regression Statistics Multiple R uare Adjusted R Sq Standard Error Observations 0.767 11.557 12 ANOVA df Regressiorn Error (Residual) Total 5226.547 Coeff Intercept avg serve speed (mph) weekly practice hours first serve % -58.050 0.418 1.806 0.419

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a c Since s yx SSE nk 1 s yx 2 123111557 2 1068514 d SST SSR SSE 5226547 1068514 6295061 b ... View full answer

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