Question

The regression table below attempts to predict an NBA players field goal percentage(FG%) by the Minutes (min) a player plays, the PTS (pts) a player scores, and the # of free throws made (FTM). call: lm(formula = 'FG%' ~ MIN + PTS + FTM, data = NBA) Residuals: Min 1Q Median 3Q Max -38.848 -4.297 -0.756 3.968 61.277 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 38.693962 0.764931 50.585 < 2e-16 * MIN 0.004112 0.001399 2.940 0.00344 PTS -0.001859 0.004132 -0.450 0.65306 FTM 0.003990 0.011832 0.337 0.73612 --- signif. codes: 0 '' 0.001 '' 0.01 '' 0.05 '.' 0.1 ' ' 1 Residual standard error: 9.193 on 486 degrees of freedom Multiple R-squared: 0.09335, Adjusted R-squared: 0.08775 F-statistic: 16.68 on 3 and 486 DF, p-value: 2.496e-10 Based on the table which variable(s) should we remove from the model? Mark all that apply. MIN FTM FG% PTS

          The regression table below attempts to predict an NBA players field goal percentage(FG%) by the Minutes (min) a player plays, the PTS (pts) a player scores, and the # of free throws made (FTM).

call:
lm(formula = 'FG%' ~ MIN + PTS + FTM, data = NBA)

Residuals:
Min 1Q Median 3Q Max
-38.848 -4.297 -0.756 3.968 61.277

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 38.693962 0.764931 50.585 < 2e-16 ***
MIN 0.004112 0.001399 2.940 0.00344 **
PTS -0.001859 0.004132 -0.450 0.65306
FTM 0.003990 0.011832 0.337 0.73612
---
signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 9.193 on 486 degrees of freedom
Multiple R-squared: 0.09335, Adjusted R-squared: 0.08775
F-statistic: 16.68 on 3 and 486 DF, p-value: 2.496e-10

Based on the table which variable(s) should we remove from the model? Mark all that apply.

MIN
FTM
FG%
PTS

The regression table below attempts to predict an NBA players field goal percentage(FG%) by the Minutes (min) a player plays, the PTS (pts) a player scores, and the # of free throws made (FTM).

call:
lm(formula = 'FG%' ~ MIN + PTS + FTM, data = NBA)

Residuals:
Min 1Q Median 3Q Max
-38.848 -4.297 -0.756 3.968 61.277

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 38.693962 0.764931 50.585 < 2e-16 ***
MIN 0.004112 0.001399 2.940 0.00344 **
PTS -0.001859 0.004132 -0.450 0.65306
FTM 0.003990 0.011832 0.337 0.73612
—
signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 9.193 on 486 degrees of freedom
Multiple R-squared: 0.09335, Adjusted R-squared: 0.08775
F-statistic: 16.68 on 3 and 486 DF, p-value: 2.496e-10

Based on the table which variable(s) should we remove from the model? Mark all that apply.

MIN
FTM
FG%
PTS

Added by Miguel B.

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