Use simple linear regression analysis

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Reference no: EM132084084

Demand for oil changes at Garcia’s Garage has been as follows:

Month Number of Oil Changes

January 41

February 46

March 57

April 52

May 59

June 51

July 60

August 62

Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For January, let X = 1 X=1; for February, let X = 2 X=2; and so on. Use the model to forecast demand for September, October, and November. Here, X = 9 , 10 X=9,10, and 11, respectively.

Reference no: EM132084084

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