Question: table [ [ January , 4 1 ] , [ February , 4 6 ] , [ March , 5 7 ] , [

\table[[January,41],[February,46],[March,57],[April,52],[May,59],[June,51],[July,60],[August,62]]
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.
b. Use the model to forecast demand for September, October, and November. Here, x=9,10, and 11, respectively.
 \table[[January,41],[February,46],[March,57],[April,52],[May,59],[June,51],[July,60],[August,62]] a. Use simple linear regression analysis to develop a forecasting

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