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Hockey Teams an Avid Hockey Fan Was in the Process of Process

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Hockey Teams
An avid hockey fan was in the process of examining the factors that determine the success or failure of hockey teams.He noticed that teams with many rookies and teams with many veterans seem to do quite poorly.To further analyze his beliefs he took a random sample of 20 teams and proposed a second-order model with one independent variable,average years of professional experience.The selected model is y = β0 + β1x + β2x2 + ε,where y = winning team's percentage,and x = average years of professional experience.The computer output is shown below. THE REGRESSION EQUATION IS y = 32.6 + 5.96x− .48x2 Hockey Teams An avid hockey fan was in the process of examining the factors that determine the success or failure of hockey teams.He noticed that teams with many rookies and teams with many veterans seem to do quite poorly.To further analyze his beliefs he took a random sample of 20 teams and proposed a second-order model with one independent variable,average years of professional experience.The selected model is y = β<sub>0</sub> + β<sub>1</sub>x + β<sub>2</sub>x<sup>2</sup> + ε,where y = winning team's percentage,and x = average years of professional experience.The computer output is shown below. THE REGRESSION EQUATION IS y = 32.6 + 5.96x− .48x<sup>2</sup> S = 16.1 R−Sq = 43.9% ANALYSIS OF VARIANCE ​ ​ -{Hockey Teams Narrative} Do these results allow us to conclude at the 5% significance level that the model is useful in predicting the team's winning percentage? S = 16.1 R−Sq = 43.9% ANALYSIS OF VARIANCE Hockey Teams An avid hockey fan was in the process of examining the factors that determine the success or failure of hockey teams.He noticed that teams with many rookies and teams with many veterans seem to do quite poorly.To further analyze his beliefs he took a random sample of 20 teams and proposed a second-order model with one independent variable,average years of professional experience.The selected model is y = β<sub>0</sub> + β<sub>1</sub>x + β<sub>2</sub>x<sup>2</sup> + ε,where y = winning team's percentage,and x = average years of professional experience.The computer output is shown below. THE REGRESSION EQUATION IS y = 32.6 + 5.96x− .48x<sup>2</sup> S = 16.1 R−Sq = 43.9% ANALYSIS OF VARIANCE ​ ​ -{Hockey Teams Narrative} Do these results allow us to conclude at the 5% significance level that the model is useful in predicting the team's winning percentage? ​ ​
-{Hockey Teams Narrative} Do these results allow us to conclude at the 5% significance level that the model is useful in predicting the team's winning percentage?

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H0: β1 = β2 = 0 vs.H1: At least one βi is not...

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