Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 46.7786688827454 + 0.233342458448343X[t] + 27.3870133153562M1[t] + 23.6664968869897M2[t] + 21.1926872757958M3[t] + 15.9061494946601M4[t] + 10.5863623312492M5[t] + 14.1338469978965M6[t] + 20.7631854802013M7[t] + 16.1087780057079M8[t] + 14.7615821355137M9[t] + 20.4789490881773M10[t] -2.03676361429512M11[t] -0.350138923157501t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)46.778668882745415.4546163.02680.0040390.00202
X0.2333424584483430.1518511.53660.131230.065615
M127.38701331535624.1333816.625800
M223.66649688698973.9951675.923800
M321.19268727579583.5552555.960900
M415.90614949466013.6036094.4146.1e-053e-05
M510.58636233124923.2740763.23340.0022660.001133
M614.13384699789653.261524.33357.9e-053.9e-05
M720.76318548020133.9268555.28753e-062e-06
M816.10877800570793.2602864.94091.1e-055e-06
M914.76158213551373.2579934.53094.2e-052.1e-05
M1020.47894908817733.742525.4722e-061e-06
M11-2.036763614295123.319451-0.61360.5425120.271256
t-0.3501389231575010.055309-6.330500


Multiple Linear Regression - Regression Statistics
Multiple R0.934214213782551
R-squared0.87275619723335
Adjusted R-squared0.836795992103645
F-TEST (value)24.2700561380391
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value2.22044604925031e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.14353483274104
Sum Squared Residuals1216.97372647854


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.799.10986577074447.59013422925556
2100.697.04595556187623.55404443812376
3101.291.141886576006810.0581134239932
493.184.80518249636868.29481750363144
584.281.4220125025942.77798749740609
685.883.07929802032462.72070197967542
791.891.36524272212760.434757277872374
892.485.12398129470067.27601870529944
980.381.4665698503827-1.16656985038274
1079.789.3772306769758-9.67723067697578
1162.565.368001004949-2.86800100494898
1257.166.4246010582761-9.32460105827608
13100.898.52500679880392.27499320119612
14100.794.68769390572816.01230609427187
1586.289.016967378307-2.81696737830701
1683.285.5270412917386-2.32704129173858
1771.774.8869208402205-3.18692084022045
1877.578.947633679969-1.44763367996907
1989.888.98364682013470.816353179865309
2080.380.9689827085002-0.668982708500228
2178.778.19827260628610.501727393713884
2293.888.86237444256964.93762555743037
2357.661.7730243190247-4.17302431902467
2460.663.7629942061451-3.16299420614513
259195.3733807839314-4.37338078393141
2685.389.5993254857344-4.29932548573443
2777.486.4020290178657-9.00202901786573
2877.382.9121029312973-5.61210293129731
2968.372.575327675762-4.27532767576203
3069.975.025977552217-5.12597755221707
3181.784.6419742671757-2.94197426717567
3275.177.6540169727139-2.55401697271392
3369.975.7933424584484-5.89334245844834
348483.37732384321370.622676156786272
3554.355.2379326566512-0.937932656651237
366059.30465042396190.695349576038052
3789.990.9150370017482-1.01503700174822
387784.4876228198959-7.48762281989588
3985.382.27036467751023.02963532248977
4077.675.7936551228031.80634487719698
4169.268.91034825230320.289651747696798
4275.572.43437343762063.06562656237936
4385.782.96040574052782.73959425947224
4472.272.9389964862376-0.738996486237551
4579.973.50508353983486.39491646016525
4685.380.06235810742745.23764189257257
4752.251.99296965839940.207030341600577
4861.256.29302988415854.90697011584152
4982.486.876709644772-4.47670964477205
5085.483.17940222676532.22059777323468
5178.279.4687523503103-1.26875235031028
5270.272.3620181577925-2.16201815779253
5370.265.80539072912044.39460927087959
5469.368.51271730986860.787282690131359
5577.578.5487304500343-1.04873045003425
5666.169.4140225378478-3.31402253784776
576968.8367315450480.163268454951940
5875.376.4207129298134-1.12071292981344
5958.250.42807236097577.77192763902431
6059.752.81472442745846.88527557254165