Multiple Linear Regression - Estimated Regression Equation
y[t] = -0.591894562376485 + 3.95161598776056x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.5918945623764850.126746-4.66991.4e-057e-06
x3.951615987760560.2380816.597800


Multiple Linear Regression - Regression Statistics
Multiple R0.892965712216058
R-squared0.797387763193532
Adjusted R-squared0.794493302667725
F-TEST (value)275.487523869858
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0351420802494691
Sum Squared Residuals0.0864476062982087


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.431.423429591381390.00657040861860759
21.431.42342959138140.006570408618601
31.431.423429591381400.00657040861860114
41.431.423429591381400.00657040861860114
51.431.423429591381400.00657040861860114
61.431.423429591381400.00657040861860114
71.431.423429591381400.00657040861860114
81.431.423429591381400.00657040861860114
91.431.383913431503790.0460865684962067
101.431.423429591381400.00657040861860114
111.431.423429591381400.00657040861860114
121.431.383913431503790.0460865684962067
131.431.423429591381400.00657040861860114
141.431.423429591381400.00657040861860114
151.431.423429591381400.00657040861860114
161.431.423429591381400.00657040861860114
171.431.46294575125900-0.0329457512590045
181.431.46294575125900-0.0329457512590045
191.441.46294575125900-0.0229457512590045
201.481.50246191113661-0.0224619111366100
211.481.50246191113661-0.0224619111366100
221.481.462945751259000.0170542487409956
231.481.462945751259000.0170542487409956
241.481.462945751259000.0170542487409956
251.481.462945751259000.0170542487409956
261.481.462945751259000.0170542487409956
271.481.462945751259000.0170542487409956
281.481.462945751259000.0170542487409956
291.481.462945751259000.0170542487409956
301.481.462945751259000.0170542487409956
311.481.462945751259000.0170542487409956
321.481.50246191113661-0.0224619111366100
331.481.50246191113661-0.0224619111366100
341.481.50246191113661-0.0224619111366100
351.481.54197807101422-0.0619780710142156
361.481.54197807101422-0.0619780710142156
371.481.54197807101422-0.0619780710142156
381.481.54197807101422-0.0619780710142156
391.481.54197807101422-0.0619780710142156
401.481.54197807101422-0.0619780710142156
411.481.54197807101422-0.0619780710142156
421.481.54197807101422-0.0619780710142156
431.481.54197807101422-0.0619780710142156
441.481.54197807101422-0.0619780710142156
451.481.50246191113661-0.0224619111366100
461.481.50246191113661-0.0224619111366100
471.481.50246191113661-0.0224619111366100
481.481.50246191113661-0.0224619111366100
491.481.50246191113661-0.0224619111366100
501.571.541978071014220.0280219289857845
511.581.58149423089182-0.00149423089182114
521.581.58149423089182-0.00149423089182114
531.581.58149423089182-0.00149423089182114
541.581.58149423089182-0.00149423089182114
551.591.581494230891820.00850576910817887
561.61.581494230891820.0185057691081789
571.61.581494230891820.0185057691081789
581.611.581494230891820.0285057691081789
591.611.62101039076943-0.0110103907694267
601.611.62101039076943-0.0110103907694267
611.621.62101039076943-0.00101039076942671
621.631.621010390769430.00898960923057308
631.631.621010390769430.00898960923057308
641.641.581494230891820.0585057691081787
651.641.621010390769430.0189896092305731
661.641.581494230891820.0585057691081787
671.641.581494230891820.0585057691081787
681.641.621010390769430.0189896092305731
691.651.581494230891820.0685057691081787
701.651.581494230891820.0685057691081787
711.651.581494230891820.0685057691081787
721.651.581494230891820.0685057691081787