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    Multiple regression model: Newyork yankees

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    In 2009, the New York Yankees won 103 baseball
    games during the regular season. The table on the next
    page lists the number of victories (W), the earnedrun-
    average (ERA), and the batting average (AVG)
    of each team in the American League. The ERA is
    one measure of the effectiveness of the pitching staff,
    and a lower number is better. The batting average
    is one measure of effectiveness of the hitters, and a
    higher number is better.

    (a) Develop a regression model that could be used to
    predict the number of victories based on the ERA.

    (b) Develop a regression model that could be used to
    predict the number of victories based on the batting
    average.

    (c) Which of the two models is better for predicting
    the number of victories?

    (d) Develop a multiple regression model that includes
    both ERA and batting average. How does
    this compare to the previous models?

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    https://brainmass.com/business/sarbanes-oxley-act/multiple-regression-model-newyork-yankees-484347

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