Multiple Linear Regression - Estimated Regression Equation
y[t] = + 15850.0926829268 + 2712.69231707317`x `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)15850.0926829268243.54815265.079900
`x `2712.69231707317425.3385626.377700


Multiple Linear Regression - Regression Statistics
Multiple R0.638810198823146
R-squared0.408078470120468
Adjusted R-squared0.398045901817425
F-TEST (value)40.6753742206466
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value3.0290149388712e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1559.46907693626
Sum Squared Residuals143484684.313305


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
115859.415850.09268292689.30731707320342
215258.915850.0926829268-591.192682926829
315498.615850.0926829268-351.49268292683
415106.515850.0926829268-743.59268292683
515023.615850.0926829268-826.49268292683
61208315850.0926829268-3767.09268292683
715761.315850.0926829268-88.7926829268307
816942.615850.09268292681092.50731707317
915070.315850.0926829268-779.792682926831
1013659.615850.0926829268-2190.49268292683
1114768.915850.0926829268-1081.19268292683
1214725.115850.0926829268-1124.99268292683
1315998.115850.0926829268148.007317073170
1415370.615850.0926829268-479.49268292683
1514956.915850.0926829268-893.19268292683
1615469.715850.0926829268-380.392682926829
1715101.815850.0926829268-748.292682926831
1811703.715850.0926829268-4146.39268292683
1916283.615850.0926829268433.507317073170
2016726.515850.0926829268876.40731707317
2114968.915850.0926829268-881.19268292683
221486115850.0926829268-989.09268292683
2314583.315850.0926829268-1266.79268292683
2415305.815850.0926829268-544.292682926831
2517903.915850.09268292682053.80731707317
2616379.415850.0926829268529.30731707317
2715420.315850.0926829268-429.792682926831
2817870.515850.09268292682020.40731707317
2915912.815850.092682926862.7073170731693
3013866.515850.0926829268-1983.59268292683
3117823.215850.09268292681973.10731707317
321787215850.09268292682021.90731707317
331742215850.09268292681571.90731707317
3416704.515850.0926829268854.40731707317
3515991.215850.0926829268141.107317073171
3616583.615850.0926829268733.507317073169
3719123.515850.09268292683273.40731707317
3817838.715850.09268292681988.60731707317
3917209.415850.09268292681359.30731707317
4018586.515850.09268292682736.40731707317
4116258.115850.0926829268408.007317073170
4215141.618562.785-3421.185
4319202.118562.785639.314999999999
4417746.518562.785-816.285
4519090.118562.785527.314999999999
4618040.318562.785-522.485000000001
4717515.518562.785-1047.285
4817751.818562.785-810.985
4921072.418562.7852509.615
501717018562.785-1392.785
5119439.518562.785876.715
5219795.418562.7851232.61500000000
5317574.918562.785-987.884999999998
5416165.418562.785-2397.385
5519464.618562.785901.814999999999
5619932.118562.7851369.315
5719961.218562.7851398.415
5817343.418562.785-1219.38500000000
5918924.218562.785361.415000000001
6018574.118562.78511.3149999999987
6121350.618562.7852787.815