Multiple Linear Regression - Estimated Regression Equation
y[t] = + 1.21207058823529 + 0.145962745098039x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.212070588235290.010375116.830100
x0.1459627450980390.0267875.4491e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.581883831454452
R-squared0.338588793308113
Adjusted R-squared0.327185151813426
F-TEST (value)29.6912870740318
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.08148881550196e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0740897668352098
Sum Squared Residuals0.318379025882354


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.00141.21207058823530-0.210670588235296
21.01831.21207058823529-0.193770588235294
31.06221.21207058823529-0.149870588235294
41.07731.21207058823529-0.134770588235294
51.08071.21207058823529-0.131370588235294
61.08481.21207058823529-0.127270588235294
71.15821.21207058823529-0.0538705882352942
81.16631.21207058823529-0.0457705882352942
91.13721.21207058823529-0.0748705882352941
101.11391.21207058823529-0.0981705882352942
111.12221.21207058823529-0.089870588235294
121.16921.21207058823529-0.0428705882352941
131.17021.21207058823529-0.0418705882352942
141.22861.212070588235290.0165294117647059
151.26131.212070588235290.049229411764706
161.26461.212070588235290.0525294117647059
171.22621.212070588235290.0141294117647059
181.19851.21207058823529-0.0135705882352942
191.20071.21207058823529-0.0113705882352940
201.21381.212070588235290.00172941176470592
211.22661.212070588235290.0145294117647058
221.21761.212070588235290.00552941176470595
231.22181.212070588235290.00972941176470593
241.2491.212070588235290.0369294117647060
251.29911.212070588235290.0870294117647059
261.34081.212070588235290.128729411764706
271.31191.212070588235290.099829411764706
281.30141.212070588235290.0893294117647058
291.32011.212070588235290.108029411764706
301.29381.212070588235290.081729411764706
311.26941.212070588235290.057329411764706
321.21651.212070588235290.00442941176470585
331.20371.21207058823529-0.00837058823529408
341.22921.212070588235290.017129411764706
351.22561.212070588235290.0135294117647060
361.20151.21207058823529-0.0105705882352941
371.17861.21207058823529-0.033470588235294
381.18561.21207058823529-0.0264705882352941
391.21031.21207058823529-0.00177058823529414
401.19381.21207058823529-0.0182705882352941
411.2021.21207058823529-0.0100705882352941
421.22711.212070588235290.015029411764706
431.2771.212070588235290.0649294117647058
441.2651.212070588235290.0529294117647058
451.26841.212070588235290.0563294117647059
461.28111.212070588235290.0690294117647058
471.27271.212070588235290.0606294117647059
481.26111.212070588235290.049029411764706
491.28811.212070588235290.076029411764706
501.32131.212070588235290.109229411764706
511.29991.212070588235290.087829411764706
521.30741.35803333333333-0.0506333333333334
531.32421.35803333333333-0.0338333333333333
541.35161.35803333333333-0.00643333333333342
551.35111.35803333333333-0.00693333333333337
561.34191.35803333333333-0.0161333333333332
571.37161.358033333333330.0135666666666666
581.36221.358033333333330.00416666666666674
591.38961.358033333333330.0315666666666666
601.42271.358033333333330.0646666666666667