We will use Linear Regression equation using least square method as appropriate forecasting method.
As per above,
Y = a + b.X
Where,
X ( independent variable ) = Serial number of month ( 1 for Feb, 2 for Mar, 3 For April, 4 for May, 5 for June, 6 for July and 7 or Aug)
Y ( Dependent variable ) = Forecasted value of sales
A, B = Constants
We place values of months and sales as provided in the problem in 2 successive columns in excel and apply the formula LINEST ( ) and get following values of A and B :
A= 46.0666
B = 2.7428
Thus , the linear regression equation is :
Y = 46.0666 + 2.7428.X
The May forecast accordingly will be ( Put X = 4 ) = 46.0666 + 2.7428 x 4 = 46.0666 + 10.9712 = 57.0378
The August forecast accordingly will be ( Put Y = 7 ) = 46.0666 + 2.7428 x 7 = 46.0666 + 19.1996 = 65.2662
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