The manager of a commuter rail transportation system is asked by his governing board to...
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The manager of a commuter rail transportation system is asked by his governing board to predict the demand for rides in the large city served by the transportation network. The system manager has collected data on variables thought to be related to the number of weekly riders on the citys rail system. The table shown below contains these data. Picture1.gif The variables weekly riders and population are measured in thousands, and the variables price per ride, income, and parking rate are measured in dollars.
Questions to cover in the Report (A) Estimate a multiple regression model using all of the available explanatory variables. (B) Conduct and interpret the result of an F- test on the given model. Employ a 5% level of significance in conducting this statistical hypothesis test. (C) Is there evidence of autocorrelated residuals in this model? Explain why or why not?
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