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    A problem on Multiple regression

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    Baseball

    Mark Havana has just bought a major league baseball team. He has been receiving a lot of advice concerning what he should do to create a winning baseball club. Mark asks you to study this problem and write him a report. You decide to use regression analysis to determine which statistics are important in developing a winning team (measured by the number of games won in the 1991 season). You gather the following statistics from sporting news 1992 baseball yearbook (data in Excel data file) and run regressions.

    Assignment:
    a) Discuss the importance of each variable.
    b) What equation should Cindy use to forecast wins?
    c) Write a report for Cindy.

    Team Wins ERA SO BA Runs HR SB
    Giants 75 4.03 905 0.246 649 141 95
    Mets 77 3.56 1028 0.244 640 117 153
    Cubs 77 4.03 927 0.253 695 159 123
    Reds 74 3.83 997 0.258 689 164 124
    Pirates 98 3.44 919 0.263 768 126 124
    Cardinals 84 3.69 822 0.255 651 68 202
    Phillies 78 3.86 988 0.241 629 111 92
    Astros 65 4 1033 0.244 605 79 125
    Dodgers 93 3.06 1028 0.253 665 108 126
    Expos 71 3.64 909 0.246 579 95 221
    Braves 94 3.49 969 0.258 749 141 165
    Padres 84 3.57 921 0.244 636 121 101
    Red Sox 84 4.01 999 0.269 731 126 59
    White Sox 87 3.79 923 0.262 758 139 134
    Yankees 71 4.42 936 0.256 674 147 109
    Tigers 84 4.51 739 0.247 817 209 109
    Orioles 67 4.59 868 0.254 686 170 50
    Brewers 83 4.14 859 0.271 799 116 106
    Indians 57 4.23 862 0.254 576 79 84
    Blue Jays 91 3.5 971 0.257 684 133 148
    Mariners 83 3.79 1003 0.255 702 126 97
    Rangers 85 4.47 1022 0.27 829 177 102
    Athletics 84 4.57 892 0.248 760 159 151
    Royals 82 3.92 1004 0.264 727 117 119
    Angels 81 3.69 990 0.255 653 115 94
    Twins 95 3.69 876 0.28 776 140 107

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