Demand for all changes at Garcia's Garage has been as follows Month January February March Apr May June July August Number of Oil Changes 35 54 60 49 50 58 58 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 variatie X is the month For January let X-1; for February X-2 and so on The forecasting model is given by the equation Y-X (Enter your rounded to two decimal places) pon

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K-
Demand for all changes at Garcia's Garage has been as follows
Month
Number of Oil Changes
January
35
February
March
April
May
June
July
August
54
60
49
50
58
58
57
a. 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; for February, let X-2 and
so on
The forecasting model is given by the equation Y-X (Enter your responses
rounded to be decimal places)
Transcribed Image Text:K- Demand for all changes at Garcia's Garage has been as follows Month Number of Oil Changes January 35 February March April May June July August 54 60 49 50 58 58 57 a. 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; for February, let X-2 and so on The forecasting model is given by the equation Y-X (Enter your responses rounded to be decimal places)
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