Question: DEMAND FORECAST WITH LINEAR REGRESSION Historical demand for a product is: Period MONTH X2 XY DEMAND (Y) 1 January 12 2 February 11 3 March

DEMAND FORECAST WITH LINEAR REGRESSION Historical

DEMAND FORECAST WITH LINEAR REGRESSION Historical demand for a product is: Period MONTH X2 XY DEMAND (Y) 1 January 12 2 February 11 3 March 15 4 April 12 5 May 16 6 June 15 FORECAST FOR JULY Period (X) TREND FORECAST 7 Using simple linear regression analysis, calculate the regression equation for the preceding demand data Using the regression equation you found, calculate the forecast for July THERE IS NO NEED TO SEASONALIZE OR DESEASONALIZE-JUST FIND THE REGRESSION EQUATION AND APPLY IT TO CALCULATE THE FORECAST FOR JULY ONLY. FORMULAS b = {xy - n x(bar)y(bar)

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