Multiple Linear Regression - Estimated Regression Equation
Cons[t] = + 120.575428571429 + 6.60571428571429Wetg[t] -2.57885714285717M1[t] -8.21885714285715M2[t] -7.11885714285715M3[t] -15.2188571428571M4[t] -16.5788571428571M5[t] -1.91885714285715M6[t] -15.0988571428571M7[t] -14.9388571428571M8[t] -3.25885714285715M9[t] -19.6588571428571M10[t] -15.5788571428571M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)120.5754285714292.71412444.425200
Wetg6.605714285714291.4633584.51414.3e-052.1e-05
M1-2.578857142857173.475282-0.74210.4617450.230873
M2-8.218857142857153.475282-2.36490.0222130.011106
M3-7.118857142857153.475282-2.04840.0461260.023063
M4-15.21885714285713.475282-4.37926.6e-053.3e-05
M5-16.57885714285713.475282-4.77051.8e-059e-06
M6-1.918857142857153.475282-0.55210.5834660.291733
M7-15.09885714285713.475282-4.34467.4e-053.7e-05
M8-14.93885714285713.475282-4.29868.6e-054.3e-05
M9-3.258857142857153.475282-0.93770.353180.17659
M10-19.65885714285713.475282-5.65681e-060
M11-15.57885714285713.475282-4.48284.7e-052.4e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.83952833990425
R-squared0.704807833502385
Adjusted R-squared0.62943962077959
F-TEST (value)9.35152643322818
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value7.23994852958043e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.4753830971714
Sum Squared Residuals1409.05154285714


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1117117.996571428572-0.996571428571511
2103.8112.356571428571-8.55657142857143
3100.8113.456571428571-12.6565714285714
4110.6105.3565714285715.24342857142856
5104103.9965714285710.00342857142857375
6112.6118.656571428571-6.05657142857143
7107.3105.4765714285711.82342857142858
898.9105.636571428571-6.73657142857142
9109.8117.316571428571-7.51657142857143
10104.9100.9165714285713.98342857142857
11102.2104.996571428571-2.79657142857143
12123.9120.5754285714293.32457142857143
13124.9117.9965714285716.9034285714286
14112.7112.3565714285710.343428571428579
15121.9113.4565714285718.44342857142858
16100.6105.356571428571-4.75657142857143
17104.3103.9965714285710.303428571428567
18120.4118.6565714285711.74342857142858
19107.5105.4765714285712.02342857142857
20102.9105.636571428571-2.73657142857142
21125.6117.3165714285718.28342857142857
22107.5100.9165714285716.58342857142857
23108.8104.9965714285713.80342857142857
24128.4127.1811428571431.21885714285714
25121.1124.602285714286-3.5022857142857
26119.5118.9622857142860.537714285714286
27128.7120.0622857142868.63771428571427
28108.7111.962285714286-3.26228571428571
29105.5110.602285714286-5.10228571428571
30119.8125.262285714286-5.46228571428571
31111.3112.082285714286-0.782285714285717
32110.6112.242285714286-1.64228571428572
33120.1123.922285714286-3.82228571428572
3497.5107.522285714286-10.0222857142857
35107.7111.602285714286-3.90228571428571
36127.3127.1811428571430.118857142857135
37117.2124.602285714286-7.40228571428569
38119.8118.9622857142860.837714285714283
39116.2120.062285714286-3.86228571428571
40111111.962285714286-0.962285714285713
41112.4110.6022857142861.79771428571429
42130.6125.2622857142865.33771428571428
43109.1112.082285714286-2.98228571428572
44118.8112.2422857142866.55771428571428
45123.9123.922285714286-0.0222857142857091
46101.6107.522285714286-5.92228571428572
47112.8111.6022857142861.19771428571428
48128127.1811428571430.818857142857138
49129.6124.6022857142864.9977142857143
50125.8118.9622857142866.83771428571428
51119.5120.062285714286-0.562285714285715
52115.7111.9622857142863.73771428571429
53113.6110.6022857142862.99771428571428
54129.7125.2622857142864.43771428571428
55112112.082285714286-0.0822857142857131
56116.8112.2422857142864.55771428571428
57127123.9222857142863.07771428571428
58112.9107.5222857142865.37771428571429
59113.3111.6022857142861.69771428571428
60121.7127.181142857143-5.48114285714286