Multiple Regression
For this assignment, you are required to complete Problem 64 (p. 593) in Chapter 12 of your textbook. Use the appropriate Excel file templates from www.cengagebrain.com. Once complete, post your Excel Document in Waypoint. Show all work.
23-64) 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 P11_45.xlsx. Use regression to fit the following model to these data:
Yt = a + b1Yt?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.
If the price of a portrait during month 21 is $10, what would you predict for sales in month 21?
Does there appear to be a problem with autocorrelation of the residual? Explain your answer.
PLEASE SHOW WORK IN EXCEL
REFERENCE
Text
Albright, S. C, & Winston, W. L. (2017). Business Analytics: Data Analysis and Decision Making (6th ed.). Boston, MA: Cengage Learning
Chapter 10: Regression Analysis: Estimating Relationships
Chapter 11: Regression Analysis: Statistical Inference
Chapter 12: Time Series Analysis and Forecasting
Attachment:- p11 45.xlsx