Question
1. Data: Week Sales AdExp(X1) ShelfSpc (X2) 1 2010 201 75 2 1850 205 50 3 2400 355 75 4 1575 208 30 5 3550
1. Data:
Week | Sales | AdExp(X1) | ShelfSpc (X2) |
1 | 2010 | 201 | 75 |
2 | 1850 | 205 | 50 |
3 | 2400 | 355 | 75 |
4 | 1575 | 208 | 30 |
5 | 3550 | 590 | 75 |
6 | 2015 | 397 | 50 |
7 | 3908 | 820 | 75 |
8 | 1870 | 400 | 30 |
9 | 4877 | 997 | 75 |
10 | 2190 | 515 | 30 |
11 | 5005 | 996 | 75 |
12 | 2500 | 625 | 50 |
13 | 3005 | 860 | 50 |
14 | 3480 | 1012 | 50 |
15 | 5500 | 1135 | 75 |
16 | 1995 | 635 | 30 |
17 | 2390 | 837 | 30 |
18 | 4390 | 1200 | 50 |
19 | 2785 | 990 | 30 |
20 | 2989 | 1205 | 30 |
2. Use Excel to create scatter plots to examine the bivariate relationships between the dependent and independent variables. Interpret the plots and formulate a multiple regression model.
3. Use Excel to compute estimates of the unknown parameters of the model. Interpret these parameters.
4. Evaluate the model utility (hypothesis tests) and interpret the correlation statistics.
5. Use the model for estimation or prediction.
6. Submit your work via the Canvas assignment link no later than the due date. Multiple submissions are allowed, if needed.
7. This is an individual (i.e., not group) assignment. Please adhere to the university policy regarding academic integrity.
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