Multiple Linear Regression - Estimated Regression Equation
y[t] = + 14459.5894260997 -381.304728660039x[t] + 97.2643755443243t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14459.5894260997344.91459741.922200
x-381.304728660039459.873859-0.82920.4104190.205209
t97.264375544324312.4098837.837700


Multiple Linear Regression - Regression Statistics
Multiple R0.781363387391381
R-squared0.610528743155733
Adjusted R-squared0.597098699816276
F-TEST (value)45.4599235254885
F-TEST (DF numerator)2
F-TEST (DF denominator)58
p-value1.32982513889601e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1312.88925657213
Sum Squared Residuals99973335.601307


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
115761.314556.85380164411204.44619835593
21694314654.11817718842288.88182281161
315070.314751.3825527327318.917447267284
413659.614848.6469282770-1189.04692827704
514768.914945.9113038214-177.011303821364
614725.115043.1756793657-318.075679365688
715998.115140.44005491857.659945089988
815370.615237.7044304543132.895569545664
914956.915334.9688059987-378.068805998662
1015469.715432.23318154337.4668184570153
1115101.815529.4975570873-427.697557087310
1211703.715626.7619326316-3923.06193263163
1316283.615724.0263081760559.573691824042
1416726.515821.2906837203905.209316279717
1514968.915918.5550592646-949.655059264607
161486115634.5147061489-773.514706148892
1714583.315731.7790816932-1148.47908169322
1815305.815829.0434572375-523.243457237541
1917903.915926.30783278191977.59216721814
2016379.416404.8769369862-25.476936986229
2115420.316502.1413125306-1081.84131253055
2217870.516218.10095941481652.39904058516
2315912.816315.3653349592-402.565334959163
2413866.516412.6297105035-2546.12971050349
2517823.216509.89408604781313.30591395219
261787216607.15846159211264.84153840787
2717420.416704.4228371365715.977162863542
2816704.416801.6872126808-97.2872126807823
2915991.216898.9515882251-907.751588225107
3016583.616996.2159637694-412.615963769434
3119123.517093.48033931382030.01966068624
3217838.717190.7447148581647.95528514192
3317209.417288.0090904024-78.609090402404
3418586.517385.27346594671201.22653405327
3516258.117482.5378414911-1224.43784149105
3615141.617579.8022170354-2438.20221703538
3719202.117677.06659257971525.03340742030
3817746.517774.3309681240-27.8309681240271
3919090.118252.9000723284837.199927671607
4018040.318350.1644478727-309.864447872716
4117515.518066.124094757-550.624094757
4217751.818544.6931989614-792.893198961365
4321072.418641.95757450572430.44242549431
441717018357.9172213900-1187.91722138997
4519439.518455.1815969343984.318403065702
4619795.418552.44597247861242.95402752138
4717574.918649.7103480229-1074.81034802294
4816165.418746.9747235673-2581.57472356727
4919464.618844.2390991116620.360900888404
5019932.118941.5034746559990.59652534408
5119961.219038.7678502002922.432149799757
5217343.419136.0322257446-1792.63222574457
5318924.219233.2966012889-309.096601288891
5418574.119330.5609768332-756.460976833218
5521350.619427.82535237751922.77464762246
5618840.119525.0897279219-684.989727921866
5720304.819622.3541034662682.44589653381
5821132.419719.61847901051412.78152098949
5919753.919816.8828545548-62.9828545548366
6018009.919914.1472300992-1904.24723009916
6120390.420011.4116056435378.988394356515