Month Number of Oil Changes

January $42$

February $47$

March $50$

April $49$

May $60$

June $46$

July $65$

August $58$

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$$ variable, X$,$ is the month. For$$ January, let X$=1$; for$$ February, let X$=2$; and so on$.$

The forecasting model is given by the equation Y$=$ enter your response here$+$ enter your response hereX. $($Enter your responses rounded to two decimal$$ places.$)$

Part $3$

b$.$ Use the model to forecast demand for$$ September, October, and November.$$ Here, X$=9,10,$ and$11,$ respectively. $($Enter your responses rounded to two decimal$$ places.$)$

Forecast for the number of Oil Changes

September $($enter your response here$)$

October $($enter your response here$)$

November $($enter your response here$)$