Using the MLB data set regress \"Games Won\" on \"Runs\" and the \"AL Dummy\" (w

Question

Using the MLB data set regress "Games Won" on "Runs" and the "AL Dummy" (which has a value of 1 if the team plays in the American League and 0 if the team plays in the National League). To run the regression, the independent variables must be in adjacent columns.

b) Interpret the estimated value of the coefficient on "Runs" (i.e., explain what the number means in this regression).

c) Use the estimated value of the coefficient on the "AL Dummy" dummy variable to draw a conclusion on which of the two leagues (AL or NL) was apparently the stronger league this past season.

d) Lets say that instead of the "AL Dummy" you created an "NL Dummy" variable (which has a value of 1 if the team plays in the National League and 0 if the team plays in the American League). Then you regressed "Games Won" on the "Runs" variable and the "NL Dummy". What would the estimated value of the coefficient on the "NL Dummy" variable be? Explain your answer.

e) As you can see, the two included regressors explain about 58 percent of the variation in the number of games won. Name two other independent variables that you think would have a substantial effect on the number of games won.

Explanation / Answer

don't know....sorrry

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