Multiple Linear Regression - Estimated Regression Equation |
Cons[t] = + 110.126086956522 + 7.3117508813161Wetg[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 110.126086956522 | 1.734877 | 63.4777 | 0 | 0 |
Wetg | 7.3117508813161 | 2.209243 | 3.3096 | 0.00161 | 0.000805 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.398565327486054 |
R-squared | 0.158854320274065 |
Adjusted R-squared | 0.144351808554653 |
F-TEST (value) | 10.953572963601 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 58 |
p-value | 0.00160974313186268 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 8.32017839544022 |
Sum Squared Residuals | 4015.07137485311 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 117 | 110.126086956522 | 6.87391304347817 |
2 | 103.8 | 110.126086956522 | -6.32608695652174 |
3 | 100.8 | 110.126086956522 | -9.32608695652174 |
4 | 110.6 | 110.126086956522 | 0.473913043478259 |
5 | 104 | 110.126086956522 | -6.12608695652173 |
6 | 112.6 | 110.126086956522 | 2.47391304347826 |
7 | 107.3 | 110.126086956522 | -2.82608695652174 |
8 | 98.9 | 110.126086956522 | -11.2260869565217 |
9 | 109.8 | 110.126086956522 | -0.326086956521738 |
10 | 104.9 | 110.126086956522 | -5.22608695652173 |
11 | 102.2 | 110.126086956522 | -7.92608695652173 |
12 | 123.9 | 110.126086956522 | 13.7739130434783 |
13 | 124.9 | 110.126086956522 | 14.7739130434783 |
14 | 112.7 | 110.126086956522 | 2.57391304347827 |
15 | 121.9 | 110.126086956522 | 11.7739130434783 |
16 | 100.6 | 110.126086956522 | -9.52608695652174 |
17 | 104.3 | 110.126086956522 | -5.82608695652174 |
18 | 120.4 | 110.126086956522 | 10.2739130434783 |
19 | 107.5 | 110.126086956522 | -2.62608695652174 |
20 | 102.9 | 110.126086956522 | -7.22608695652173 |
21 | 125.6 | 110.126086956522 | 15.4739130434783 |
22 | 107.5 | 110.126086956522 | -2.62608695652174 |
23 | 108.8 | 110.126086956522 | -1.32608695652174 |
24 | 128.4 | 117.437837837838 | 10.9621621621622 |
25 | 121.1 | 117.437837837838 | 3.66216216216216 |
26 | 119.5 | 117.437837837838 | 2.06216216216216 |
27 | 128.7 | 117.437837837838 | 11.2621621621622 |
28 | 108.7 | 117.437837837838 | -8.73783783783783 |
29 | 105.5 | 117.437837837838 | -11.9378378378378 |
30 | 119.8 | 117.437837837838 | 2.36216216216216 |
31 | 111.3 | 117.437837837838 | -6.13783783783784 |
32 | 110.6 | 117.437837837838 | -6.83783783783784 |
33 | 120.1 | 117.437837837838 | 2.66216216216216 |
34 | 97.5 | 117.437837837838 | -19.9378378378378 |
35 | 107.7 | 117.437837837838 | -9.73783783783783 |
36 | 127.3 | 117.437837837838 | 9.86216216216216 |
37 | 117.2 | 117.437837837838 | -0.237837837837833 |
38 | 119.8 | 117.437837837838 | 2.36216216216216 |
39 | 116.2 | 117.437837837838 | -1.23783783783783 |
40 | 111 | 117.437837837838 | -6.43783783783784 |
41 | 112.4 | 117.437837837838 | -5.03783783783783 |
42 | 130.6 | 117.437837837838 | 13.1621621621622 |
43 | 109.1 | 117.437837837838 | -8.33783783783784 |
44 | 118.8 | 117.437837837838 | 1.36216216216216 |
45 | 123.9 | 117.437837837838 | 6.46216216216217 |
46 | 101.6 | 117.437837837838 | -15.8378378378378 |
47 | 112.8 | 117.437837837838 | -4.63783783783784 |
48 | 128 | 117.437837837838 | 10.5621621621622 |
49 | 129.6 | 117.437837837838 | 12.1621621621622 |
50 | 125.8 | 117.437837837838 | 8.36216216216216 |
51 | 119.5 | 117.437837837838 | 2.06216216216216 |
52 | 115.7 | 117.437837837838 | -1.73783783783783 |
53 | 113.6 | 117.437837837838 | -3.83783783783784 |
54 | 129.7 | 117.437837837838 | 12.2621621621622 |
55 | 112 | 117.437837837838 | -5.43783783783784 |
56 | 116.8 | 117.437837837838 | -0.637837837837839 |
57 | 127 | 117.437837837838 | 9.56216216216216 |
58 | 112.9 | 117.437837837838 | -4.53783783783783 |
59 | 113.3 | 117.437837837838 | -4.13783783783784 |
60 | 121.7 | 117.437837837838 | 4.26216216216217 |