An NHL (National Hockey League) statistician has investigated key statistics and wants to create a model using various variables to predict the number of wins in a hockey season. Using the 2010/2011 hockey season, the statistician has selected the following variables to predict wins: PP% (Power play percentage), PK% (Power kill percentage), Shots/G (Shot per game), SA/G (Shots against per game), and FOW% (Faceoff Wins percentage).

The statistician has presented the following Excel output for the multiple linear regression:

Regression Statistics Multiple R 0.767 R Square Adjusted R Square 0.503 Standard Error 4.8916 Observations 30 ANOVA df SS MS F Significance F Regression 5 821.74 164.35 6.87 Residual 24 574.26 23.93 Total 29 1396 Coefficients Standard Error t Stat P-value Intercept -84.4751 41.920 2.015 PP% 0.9384 0.344 PK% 1.0319 0.356 Shots/GP 0.8661 0.539 SA/GP 0.3768 0.564 FOW% 0.1822 0.435