Question

he National Football Leaque (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the conference (Cont), average number of passing yards per attempt(Yds/Att), the number of interceptions thrown per attempt (Inset), and the percentage of games _ (Wm%) for random un ple of 16 NF, tram, for a eason Team Arizona Cardinals 6.4 7.3 7.3 5.2 7,.3 8.8 6 5.7 4.6 5.7 0.042 0.022 0.034 0.028 49.8 62.6 37.4 Atlanta Falcons Carolina Panthers Cincinnati Bengals Detroit Lions Green Bay Packers Houstan Texans Indianapolis Colts Jacksonville Jaguars AFC 62.5 015 0.020 0.029 032 0.035 0.020 0.022 93.7 AFC 12.6 31.3 18.5 81.5 81.5 AFC Minnesota Vikings New England Patriots New Orieans Saints Oakland Raiders San Francisco 49ers Tennessee Titans 0.010 0.026 0.041 81.2 56.4 AFC 6.6 attempt isthe independent าเa tie (to 3 decirnais). Enter negative value as negative Yda/Att (o 2 decimals) Did the estimated regression quation that percentage of games won provid. good fit, The ieput in the bex below will not be graded, but may be reviewed and conidered by your instructior uses only the average number of passing yards per atempt as the independent variable bo predict the Compute Rthe thrown per attermpt are the independent Int/All Oto 2 de ) the percentage of games won Type here to search
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Answer #1

SUMMARY OUTPUT Regression Statistics MultipleR R Square Adjusted R Square Standard Error Observations 0.770467436 0.59362007 0.564592932 15.58945621 16 ANOVA Significance F 14970.113344 4970.113344 20.45052021 0.000478416 MS Regression Residual Total 14 3402.436031 243.0311451 15 8372.549375 Coefficients Standard Error 57.6407067925.05702844 -2.300380787 0.037323316-111.3826878-3.898725761-111.38268783.898725761 16.25182676 3.593767726 4.522225139 0.000478416 8.543961578 23.95969194 8.543961578 23.95969194 t Stat P-value Lower 95% Upper 95% Lower 95.0% U per 95.0% Intercept Yds/Att

\hat{y}=-57.640+16.25*Yds/Att

R-squared = 0.59 or 59% of the variation in y is defined by this model.

The p-value of f-statistic is less than 0.05 and R-squared is also ok. We can say the model is a good fit.

B)

\hat{y}=100.9169-1680.11*(Int/Att)

R-squared = 0.44 or 44% of the variation in y is defined by this model.

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