Indusmomentus is a India-based distributor of Korean appliances. The sales volum
ID: 3351983 • Letter: I
Question
Indusmomentus is a India-based distributor of Korean appliances. The sales volume of portable TV sets during the last 12 weeks in Kuala Lumpur is shown in the table below. The demand pattern shows that the trend is constant therefore company wants to implement linear regression method to estimate next month’s sales by using the following regression output T
ime period quantity time period quantity
1 1180 7 1162
2 1176 8 1163
3 1185 9 1180
4 1163 10 1170
5 1188 11 1161
6 1172 12 1177
The demand pattern shows that the trend is constant therefore the company wants you to implement linear regression method to estimate next months (period 13) sales by using the following regression output:
Regression statistics
Multiple R 0.667087934
R square 0.534753551
Adjusted r square 0.048228906
Standard error 9.146700018
Observations 12
ANOVA
Df ss ms f significance f
Regression 1 130.2954545 130.2954545 1.5574008 0.240476358
Residual 10 836.6212121 83.66212121
Total 11 966.9166667
Coefficients standard error tstat p-value lower 95% Upper 95%
Intercept 1179.28 5.629404714 209.4871374 1.51034E-19 1166.744783 1191.831
Time period -0.954 0.764885481 1.247958653 0.240476358 -2.658816504 0.749726
Explanation / Answer
Here, the linear regression model would be calculated based on the below formula: -
y=1179.28-0.954*Time Period
y=1179.28-0.954*13
y=1166.878
Hence, the sales of portable TV sets in week 13 would be 1167.