Multiple Linear Regression - Estimated Regression Equation
Cons[t] = + 110.126086956522 + 7.3117508813161Wetg[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)110.1260869565221.73487763.477700
Wetg7.31175088131612.2092433.30960.001610.000805


Multiple Linear Regression - Regression Statistics
Multiple R0.398565327486054
R-squared0.158854320274065
Adjusted R-squared0.144351808554653
F-TEST (value)10.953572963601
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.00160974313186268
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.32017839544022
Sum Squared Residuals4015.07137485311


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1117110.1260869565226.87391304347817
2103.8110.126086956522-6.32608695652174
3100.8110.126086956522-9.32608695652174
4110.6110.1260869565220.473913043478259
5104110.126086956522-6.12608695652173
6112.6110.1260869565222.47391304347826
7107.3110.126086956522-2.82608695652174
898.9110.126086956522-11.2260869565217
9109.8110.126086956522-0.326086956521738
10104.9110.126086956522-5.22608695652173
11102.2110.126086956522-7.92608695652173
12123.9110.12608695652213.7739130434783
13124.9110.12608695652214.7739130434783
14112.7110.1260869565222.57391304347827
15121.9110.12608695652211.7739130434783
16100.6110.126086956522-9.52608695652174
17104.3110.126086956522-5.82608695652174
18120.4110.12608695652210.2739130434783
19107.5110.126086956522-2.62608695652174
20102.9110.126086956522-7.22608695652173
21125.6110.12608695652215.4739130434783
22107.5110.126086956522-2.62608695652174
23108.8110.126086956522-1.32608695652174
24128.4117.43783783783810.9621621621622
25121.1117.4378378378383.66216216216216
26119.5117.4378378378382.06216216216216
27128.7117.43783783783811.2621621621622
28108.7117.437837837838-8.73783783783783
29105.5117.437837837838-11.9378378378378
30119.8117.4378378378382.36216216216216
31111.3117.437837837838-6.13783783783784
32110.6117.437837837838-6.83783783783784
33120.1117.4378378378382.66216216216216
3497.5117.437837837838-19.9378378378378
35107.7117.437837837838-9.73783783783783
36127.3117.4378378378389.86216216216216
37117.2117.437837837838-0.237837837837833
38119.8117.4378378378382.36216216216216
39116.2117.437837837838-1.23783783783783
40111117.437837837838-6.43783783783784
41112.4117.437837837838-5.03783783783783
42130.6117.43783783783813.1621621621622
43109.1117.437837837838-8.33783783783784
44118.8117.4378378378381.36216216216216
45123.9117.4378378378386.46216216216217
46101.6117.437837837838-15.8378378378378
47112.8117.437837837838-4.63783783783784
48128117.43783783783810.5621621621622
49129.6117.43783783783812.1621621621622
50125.8117.4378378378388.36216216216216
51119.5117.4378378378382.06216216216216
52115.7117.437837837838-1.73783783783783
53113.6117.437837837838-3.83783783783784
54129.7117.43783783783812.2621621621622
55112117.437837837838-5.43783783783784
56116.8117.437837837838-0.637837837837839
57127117.4378378378389.56216216216216
58112.9117.437837837838-4.53783783783783
59113.3117.437837837838-4.13783783783784
60121.7117.4378378378384.26216216216217