Multiple Linear Regression - Estimated Regression Equation
y[t] = + 7.9589090909091 -0.664848484848485x[t] + 0.00684848484848708M1[t] -0.109818181818181M2[t] -0.259818181818182M3[t] -0.543151515151516M4[t] -0.776484848484849M5[t] -0.793151515151515M6[t] -0.559818181818181M7[t] -0.472969696969696M8[t] -0.412969696969697M9[t] -0.26M10[t] -0.180000000000000M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.95890909090910.23918833.274700
x-0.6648484848484850.125026-5.31772e-061e-06
M10.006848484848487080.3077770.02230.9823290.491165
M2-0.1098181818181810.307777-0.35680.7226240.361312
M3-0.2598181818181820.307777-0.84420.4022950.201147
M4-0.5431515151515160.307777-1.76480.0832590.04163
M5-0.7764848484848490.307777-2.52290.0146180.007309
M6-0.7931515151515150.307777-2.5770.012730.006365
M7-0.5598181818181810.307777-1.81890.0744720.037236
M8-0.4729696969696960.322169-1.46810.1478840.073942
M9-0.4129696969696970.322169-1.28180.2053740.102687
M10-0.260.321197-0.80950.4217960.210898
M11-0.1800000000000000.321197-0.56040.5775220.288761


Multiple Linear Regression - Regression Statistics
Multiple R0.674729792914137
R-squared0.455260293445954
Adjusted R-squared0.334207025322833
F-TEST (value)3.76082612641995
F-TEST (DF numerator)12
F-TEST (DF denominator)54
p-value0.000371990161561309
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.507857010373402
Sum Squared Residuals13.9276121212121


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
17.87.96575757575756-0.165757575757563
27.67.8490909090909-0.249090909090909
37.57.69909090909091-0.199090909090909
47.67.415757575757580.184242424242423
57.57.182424242424240.317575757575757
67.37.165757575757570.134242424242425
77.67.399090909090910.200909090909091
87.57.48593939393940.0140606060606061
97.67.54593939393940.0540606060606054
107.97.698909090909090.201090909090909
117.97.778909090909090.121090909090909
128.17.958909090909090.141090909090909
138.27.965757575757580.234242424242421
1487.849090909090910.150909090909091
157.57.69909090909091-0.199090909090909
166.87.41575757575758-0.615757575757576
176.57.18242424242424-0.682424242424242
186.67.16575757575758-0.565757575757577
197.67.399090909090910.200909090909090
2087.48593939393940.514060606060606
2187.54593939393940.454060606060606
227.77.698909090909090.00109090909090900
237.57.77890909090909-0.278909090909091
247.67.9589090909091-0.358909090909091
257.77.96575757575758-0.265757575757578
267.97.849090909090910.0509090909090912
277.87.699090909090910.100909090909091
287.57.415757575757580.0842424242424244
297.57.182424242424240.317575757575758
307.17.16575757575758-0.0657575757575765
317.57.399090909090910.100909090909091
327.57.48593939393940.0140606060606057
337.67.54593939393940.0540606060606058
347.77.03406060606060.665939393939394
357.97.11406060606060.785939393939394
368.17.29406060606060.805939393939394
378.27.300909090909090.899090909090906
388.27.184242424242421.01575757575758
398.17.034242424242421.06575757575758
407.96.750909090909091.14909090909091
417.36.517575757575760.782424242424242
426.96.500909090909090.399090909090909
436.66.73424242424242-0.134242424242425
446.76.82109090909091-0.121090909090909
456.96.881090909090910.0189090909090916
4677.0340606060606-0.034060606060606
477.17.1140606060606-0.0140606060606064
487.27.2940606060606-0.0940606060606056
497.17.30090909090909-0.200909090909093
506.97.18424242424242-0.284242424242424
5177.03424242424242-0.0342424242424239
526.86.750909090909090.0490909090909093
536.46.51757575757576-0.117575757575757
546.76.500909090909090.199090909090909
556.76.73424242424242-0.034242424242424
566.46.82109090909091-0.421090909090909
576.36.88109090909091-0.581090909090909
586.27.0340606060606-0.834060606060606
596.57.1140606060606-0.614060606060606
606.87.2940606060606-0.494060606060606
616.87.30090909090909-0.500909090909093
626.57.18424242424242-0.684242424242424
636.37.03424242424242-0.734242424242424
645.96.75090909090909-0.85090909090909
655.96.51757575757576-0.617575757575757
666.46.50090909090909-0.100909090909091
676.46.73424242424242-0.334242424242424