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Run the regression model

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The data on factors affecting baseball attendance in 78 metropolitan areas, complied by Scott Daniel. The Y variable is ATTEND (Total Attendance 1984-1986, in thousands). The explanatory variables are:

POP = population of the metropolitan area.

CAPACITY = capacity of the home stadium in thousands.

PRIORWIN = # of wins the team had in the previous season.

CURNTWIN = # of wins the team had in the previous season.GF = # of games behind the division leader the team is after the season was over.

OTHER = # of other baseball teams in the metropolitan area.

TEAMS = the number of football, basketball, or hockey teams found in the metropolitan area.

a) For each explanatory variable, explain why it might have a causal effect on ATTEND. Make sure you identify if it is positive or negative (explain why it is + or -).

b) Run the regression model. Do the signs of the coefficients coincide with your intuition? Identify the ones that do not.

d) What other variables can you think of that might be an explanatory variable in the model?

Reference no: EM133078956

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