Consider the following monthly revenue data for an up-and-coming cyber security company. Sales Data Month Revenue (Thousands of Dollars) Month Revenue (Thousands of Dollars) 1
Consider the following monthly revenue data for an up-and-coming cyber security company.
| Month | Revenue (Thousands of Dollars) | Month | Revenue (Thousands of Dollars) |
|---|---|---|---|
| 1 |
| 326 |
| 10 |
| 816 |
| 2 |
| 552 |
| 11 |
| 827 |
| 3 |
| 535 |
| 12 |
| 846 |
| 4 |
| 571 |
| 13 |
| 850 |
| 5 |
| 636 |
| 14 |
| 849 |
| 6 |
| 685 |
| 15 |
| 854 |
| 7 |
| 700 |
| 16 |
| 867 |
| 8 |
| 705 |
| 17 |
| 875 |
| 9 |
| 787 |
| 18 |
| 881 |
The summary output from a regression analysis of the data is also provided.
| Multiple R | 0.918354253 |
|---|
| R Square | 0.843374534 |
|---|
| Adjusted R Square | 0.833585442 |
|---|
| Standard Error | 63.3992952 |
|---|
| Observations | 18 |
|---|
| Regression | 1 |
|---|
| 346,295.581011 |
| 346,295.581011 |
| 86.15452451 |
| Residual | 16 |
|---|
| 64,311.530100 |
| 4019.470631 |
| Total | 17 |
|---|
| 410,607.111111 |
| Stat | P-value |
|---|---|
| Intercept | 477.24183007 |
| 31.17737714 |
| 15.30731171 |
| 5.63495E-11 |
| Month | 26.73477812 |
|---|
| 2.880298772 |
| 9.28194616 |
| 7.66663E-08 |
Step 3 of 3 :
What percent of the variation in revenue is explained by the linear time trend model? Round to two decimal places, if necessary.
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Authors: Jeremy C. Miller
1st Edition
0062415565,0062415573
