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Month Demand Month Demand Jan 20 120 Jan 21 118 Feb 20 105 Feb 21 110 Mar 20 97 Mar 21 95 Apr 20 85
Month | Demand | Month | Demand |
Jan 20 | 120 | Jan 21 | 118 |
Feb 20 | 105 | Feb 21 | 110 |
Mar 20 | 97 | Mar 21 | 95 |
Apr 20 | 85 | Apr 21 | 90 |
May 20 | 98 | May 21 | 100 |
Jun 20 | 110 | Jun 21 | 115 |
Jul 20 | 125 | Jul 21 | 122 |
Aug 20 | 102 | Aug 21 | 98 |
Sep 20 | 92 | Sep 21 | 88 |
Oct 20 | 90 | Oct 21 | 79 |
Nov 20 | 100 | Nov 21 | 95 |
Dec 20 | 115 | Dec 21 | 110 |
The supply chain manager believes there is a linear relationship between demand and time and decides to use a regression analysis method to forecast he demand. Determine the regression equation for the given data. Clearly identify the dependent variable, independent variable, slope and intercept. Discuss whether the regression analysis is appropriate or not to forecast demand in this situation. Provide reason.
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