Minitab Solution Printout for the Water/Temperature/Time Mowing example.
The Session Part of the Screen Should Say
Regression Analysis: Water Consumption versus Time Mowed, Temperature
The regression equation is
Water Consumption = - 122 + 12.5 Time Mowed + 1.51 Temperature
| Predictor | Coef | SE Coef | T | P |
| Constant | -121.655 | 6.540 | -18.60 | 0.000 |
| Time Mow | 12.532 | 1.933 | 6.48 | 0.003 |
| Temperat | 1.51236 | 0.06077 | 24.89 | 0.000 |
S = 1.245 R-Sq = 99.4% R-Sq(adj) = 99.0%
Analysis of Variance
| Source | DF | SS | MS | F | P |
| Regression | 2 | 970.66 | 485.33 | 313.17 | 0.000 |
| Residual Error | 4 | 6.20 | 1.55 | ||
| Total | 6 | 976.86 |
| Source | DF | Seq SS |
| Time Mow | 1 | 10.88 |
| Temperat | 1 | 959.78 |
The Worksheet part should say
| TEMP | Mowed | Water Consumption | TRES1 | HI1 |
| 75 | 1.85 | 16 | 1.85456 | 0.670753 |
| 83 | 1.25 | 20 | 0.45196 | 0.454761 |
| 85 | 1.50 | 25 | -0.55759 | 0.173865 |
| 85 | 1.75 | 27 | -2.73846 | 0.246620 |
| 92 | 1.15 | 32 | 0.10774 | 0.529086 |
| 97 | 1.75 | 48 | 1.19587 | 0.474723 |
| 99 | 1.60 | 48 | -0.11257 | 0.450191 |
Solution
Interpretation
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