In: Economics
2. The quarterly sales for Grinder Inc are as
follows:
Period Sales ($M)
2014 96
2015 106
2016 100
2017 115
2018 122
2019 120
2020 ???
• Calculate and fit the best straight line to the points using
linear regression.
• Using the data for trend forecast, estimate the sales for
2020.
• Estimate the forecast error.
• Show on the graph the regression line, the forecasted sale, and
the forecast error.
Answer
The exponential smoothing forecasting method is used here which is given as
Ft = Alpha*At-1 +(1-Alpha)*Ft-1
Using this we calculated the demand forecast for 2020 which comes out to be 108.6 or 109 as below
PERIOD | Actual SALES | FORECCAST SALE | ERROR |
2014 | 96 | 96 | 0 |
2015 | 106 | 96 | 10 |
2016 | 100 | 98 | 2 |
2017 | 115 | 98.4 | 16.6 |
2018 | 122 | 101.72 | 20.28 |
2019 | 120 | 105.776 | 14.224 |
2020 | 108.6208 | ||
For your data, the regression equation for Y is:
ŷ = 5.22857X - 10433.58095
Calculation Summary
Sum of X = 12099
Sum of Y = 659
Mean X = 2016.5
Mean Y = 109.8333
Sum of squares (SSX) = 17.5
Sum of products (SP) = 91.5
Regression Equation = ŷ = bX + a
b = SP/SSX = 91.5/17.5 = 5.22857
a = MY - bMX = 109.83 - (5.23*2016.5) =
-10433.58095
ŷ = 5.22857X - 10433.58095
SS: 17.5
SP: 91.5