Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 108.556757497134 -0.44607926102607X[t] + 40.5602074612777M1[t] + 35.6470691776054M2[t] + 28.9911821454183M3[t] + 24.101869332547M4[t] + 12.9286273182358M5[t] + 15.2019595232404M6[t] + 31.4414814898826M7[t] + 17.4821568295589M8[t] + 15.8935295113231M9[t] + 29.101284183564M10[t] -4.81196460071992M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)108.55675749713416.2176216.693800
X-0.446079261026070.145379-3.06840.0035670.001783
M140.56020746127774.8331128.392200
M235.64706917760544.7615487.486400
M328.99118214541834.5132446.423600
M424.1018693325474.5511525.29583e-062e-06
M512.92862731823584.4023972.93670.0051230.002561
M615.20195952324044.4078783.44880.0011980.000599
M731.44148148988264.7989286.551800
M817.48215682955894.402343.97110.0002440.000122
M915.89352951132314.402373.61020.0007410.00037
M1029.1012841835644.7174126.168900
M11-4.811964600719924.452839-1.08070.2853660.142683


Multiple Linear Regression - Regression Statistics
Multiple R0.87286876382315
R-squared0.761899878858152
Adjusted R-squared0.701108358566617
F-TEST (value)12.532995970562
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value6.69052591106833e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.96070391037835
Sum Squared Residuals2277.21574961396


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.7100.7619730631865.93802693681423
2100.692.01255313468938.5874468653107
3101.291.24491234804649.9550876519536
493.187.69383731825335.4061626817467
584.272.149018545886612.0509814541133
685.877.36647387366328.43352612633676
791.889.76971419548122.03028580451877
892.478.174609618595814.2253903814042
980.380.3330480929789-0.0330480929789354
1079.788.6785388200356-8.9785388200356
1162.556.95107841477955.54892158522053
1257.162.9674570202698-5.8674570202698
13100.893.84774451728186.95225548271823
14100.788.488526972583412.2114730274167
1586.287.2748069249144-1.07480692491437
1683.278.28156491060324.91843508939681
1771.776.6098111561473-4.90981115614733
1877.577.23265009535540.267349904644579
1989.886.29029595947793.50970404052213
2080.378.08539376639062.21460623360942
2178.778.54873104887470.151268951125325
2293.881.630486495823712.1695135041763
2357.655.79127233611171.80872766388830
2460.660.02333389749770.576666102502276
259191.8403878426645-0.840387842664454
2685.390.1836281644824-4.88362816448243
2777.484.2414679499371-6.8414679499371
2877.375.24822593562592.05177406437407
2968.372.9965691418362-4.69656914183617
3069.976.6973549821241-6.79735498212413
3181.786.5579435160935-4.85794351609352
3275.176.3902925744915-1.29029257449151
3369.975.113920738974-5.21392073897393
348484.0839224314671-0.0839224314671194
3554.360.2520649463724-5.95206494637241
366060.5140210846264-0.5140210846264
3789.992.3310750297931-2.43107502979313
387791.9233372824841-14.9233372824841
3985.384.10764417162931.19235582837072
4077.680.8242166984518-3.2242166984518
4169.271.9705868414762-2.77058684147619
4275.573.61940808104421.88059191895575
4385.781.7402874970123.95971250298805
4472.277.3716669487489-5.17166694874886
4579.971.45607079856028.44392920143985
4685.382.3888212395682.91117876043194
4752.258.4231399761655-6.22313997616551
4861.258.23901685339342.96098314660656
4982.492.0188195470749-9.61881954707488
5085.486.3919544457608-0.991954445760813
5178.281.4311686054729-3.23116860547286
5270.279.3521551370658-9.15215513706576
5370.269.87401431465370.325985685346336
5469.373.084112967813-3.78411296781297
5577.582.1417588319354-4.64175883193543
5666.176.0780370917733-9.97803709177327
576972.3482293206123-3.3482293206123
5875.381.3182310131055-6.01823101310548
5958.253.38244432657094.81755567342909
6059.756.85617114421262.84382885578738