Linear regression analysis to develop forecasting model

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Reference no: EM131465727

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

Month                                        Number of Oil Changes

January                                              38

February                                             41

March                                                49

April                                                    48

May                                                    54

June                                                   56

July                                                    58

August                                               69

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 Xequals ?1; for? February, let Xequals ?2; and so on.

The forecasting model is given by the equation Y=  ___ + ____  X. ?(Enter your responses rounded to two decimal? places.)

Reference no: EM131465727

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