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An Avid Football Fan Was in the Process of Examining y=β0+β1x+β2x2+εy = \beta _ { 0 } + \beta _ { 1 } x + \beta _ { 2 } x ^ { 2 } + \varepsilon

question 17

Essay

An avid football fan was in the process of examining the factors that determine the success or failure of football teams. He noticed that teams with many rookies and teams with many veterans seem to do quite poorly. To further analyse his beliefs, he took a random sample of 20 teams and proposed a second-order model with one independent variable. The selected model is: y=β0+β1x+β2x2+εy = \beta _ { 0 } + \beta _ { 1 } x + \beta _ { 2 } x ^ { 2 } + \varepsilon .
where
y = winning team's percentage.
x = average years of professional experience.
The computer output is shown below:
THE REGRESSION EQUATION IS: y=y = 32.6+5.96x0.48x232.6 + 5.96 x - 0.48 x ^ { 2 }  Predictor  Coef  SyDev  T  Constant 32.619.31.689x5.962.412.473x20.480.222.182\begin{array} { | c | r r r | } \hline \text { Predictor } & \text { Coef } & \text { SyDev } & \text { T } \\\hline \text { Constant } & 32.6 & 19.3 & 1.689 \\x & 5.96 & 2.41 & 2.473 \\x ^ { 2 } & - 0.48 & 0.22 & - 2.182 \\\hline\end{array} S = 16.1 R-Sq = 43.9%.
ANALYSIS OF VARIANCE  Source of Variation df SS MSF Regression 2345217266.663 Error 174404259.059 Total 197856\begin{array} { | l | c c c c | } \hline \text { Source of Variation } & d f & \text { SS } & M S & F \\\hline \text { Regression } & 2 & 3452 & 1726 & 6.663 \\\text { Error } & 17 & 4404 & 259.059 & \\\hline \text { Total } & 19 & 7856 & & \\\hline\end{array} 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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AT/RT

AT/RT, or Atypical Teratoid/Rhabdoid Tumor, refers to a rare and aggressive type of brain tumor that often affects children.

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DCIS

Ductal Carcinoma In Situ, a non-invasive cancer where abnormal cells are found in the lining of a breast duct.

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