Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 40.9669725515544 + 0.362886468119393X[t] -10.2431896256701Z[t] + 24.1331561763916M1[t] + 20.5212629928483M2[t] + 18.7260702690305M3[t] + 13.2450227500879M4[t] + 8.92253073784375M5[t] + 12.5941839304749M6[t] + 19.3210338289674M7[t] + 16.3220050747697M8[t] + 14.9020708358594M9[t] + 19.0724885897504M10[t] -1.38884984263954M11[t] -0.298127595988762t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)40.966972551554413.1921713.10540.0032840.001642
X0.3628864681193930.1323682.74150.0087430.004372
Z-10.24318962567012.36306-4.33478.1e-054.1e-05
M124.13315617639163.5893856.723500
M220.52126299284833.469375.91500
M318.72607026903053.0722366.095300
M413.24502275008793.1211114.24370.0001085.4e-05
M58.922530737843752.8066743.1790.0026730.001337
M612.59418393047492.7923244.51034.6e-052.3e-05
M719.32103382896743.3511915.76541e-060
M816.32200507476972.769035.894500
M914.90207083585942.7668365.3863e-061e-06
M1019.07248858975043.1946215.970200
M11-1.388849842639542.822796-0.4920.6251020.312551
t-0.2981275959887620.048477-6.149900


Multiple Linear Regression - Regression Statistics
Multiple R0.954063310173485
R-squared0.910236799819187
Adjusted R-squared0.882310470874045
F-TEST (value)32.5942160749894
F-TEST (DF numerator)14
F-TEST (DF denominator)45
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.3678245805265
Sum Squared Residuals858.505120481318


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.7104.1388942760992.56110572390075
2100.6103.349697122394-2.74969712239422
3101.296.46627542341164.7337245765884
493.189.59844090412213.50155909587789
584.288.5341086834592-4.33410868345921
685.889.5125835905136-3.7125835905136
791.888.8189398931742.98106010682603
892.483.59848526195488.80151473804521
980.378.83217709485281.46782290514721
1079.786.6599297552564-6.95992975525638
1162.564.1223200330927-1.62232003309268
1257.164.2332488158211-7.13324881582111
13100.895.94291375441474.85708624558527
14100.792.39577944300218.30422055699788
1586.285.8752442121390.324755787861091
1683.283.434624603906-0.234624603905994
1771.771.084523224730.615476775269983
1877.575.80072875341411.69927124658586
1989.888.071923192641.72807680735990
2080.380.09353140371350.206468596286468
2178.776.70619181546521.99380818453478
2293.888.81600479967764.98399520032236
2357.661.488293698338-3.88829369833796
2460.663.050768353544-2.45076835354396
259193.9983717090869-2.99837170908686
2685.387.4392797122833-2.1392797122833
2777.484.7653410434857-7.36534104348565
2877.382.3247214352527-5.02472143525272
2968.370.446372464632-2.14637246463196
3069.972.6586613632923-2.75866136329226
3181.784.2766601599033-2.57666015990331
3275.177.894968830702-2.79496883070208
3369.975.9228864681194-6.02288646811939
348483.24259807315580.757401926844173
3554.354.28189786527890.0181021347211149
366059.07406208674750.925937913252518
3789.990.0216654422904-0.121665442290369
387782.4464913347525-5.44649133475252
3985.381.29667583205634.00332416794368
4077.674.21110943189523.38889056810483
4169.267.70348018944141.49651981055859
4275.571.5850468414513.91495315854907
4385.784.61830286372761.08169713627240
4472.273.5190874489743-1.31908744897426
4579.975.32102435483334.57897564516673
4685.381.04403550014444.25596449985562
4752.252.19220123270320.00779876729676343
4861.257.34725192229123.85274807770877
4982.486.6981548181088-4.2981548181088
5085.483.36875238756782.03124761243216
5178.279.8964634889075-1.69646348890752
5270.271.831103624824-1.63110362482401
5370.265.83151543773744.36848456226259
5469.368.4429794513290.85702054867094
5577.580.714173890555-3.21417389055501
5666.170.9939270546553-4.89392705465535
576971.0177202667293-2.01772026672934
5875.378.3374318717658-3.03743187176577
5958.252.71528717058725.48471282941276
6059.754.89466882159624.80533117840379