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Consider the average attendance per Cubs home game beginning in 1916 and ending  in 2007 (92 years). Use statistical software to fit trend models to this time series. DATADATA

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 (a) Fit a line to the data. Be sure to use attendance per home game as the response variable and t as the explanatory variable.

Report the equation of the least-squares line, the R2-value, and the regression standard error s.

(b) Now, fit a second-degree polynomial (t and t2 are explanatory variables) to the data. Report the equation of the quadratic model, the R2-value, and the regression standard error s.

(c) Finally, fit a third-degree polynomial (t, t2, and t3 are explanatory variables) to the data. Report the equation of the cubic

model, the R2-value, and the regression standard error s.

(d) Based on the R2-values and the regression standard errors, which trend model from parts (a), (b), and (c) would you use

for the trend equation for the average attendance per home game time series?

 

 
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