Multiple Regression

Let Yt be the sales during month t (in thousands of dollars) for a photography studio, and let Pt be the price charged for portraits during month t. The data are in the file Week 4 Assignment Chapter 12 Problem 64Preview the document. Use regression to fit the following model to these data: Yt = a + blYt-1 + b2Pt + et This equation indicates that last month’s sales and the current month’s price are explanatory variables. The last term, et, is an error term. a.lf the price of a portrait during month 21 is $10, what would you predict for sales in month 21? b.Does there appear to be a problem with autocorrelation of the residual? Explain your answer.

 

 

 

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