Multiple Linear Regression - Estimated Regression Equation
y[t] = + 1.42928029408608 + 0.0684512778314429dummy[t] + 0.00252516904583021trend[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.429280294086080.006822209.518700
dummy0.06845127783144290.0103486.615100
trend0.002525169045830210.0002749.222300


Multiple Linear Regression - Regression Statistics
Multiple R0.95633086280211
R-squared0.914568719147827
Adjusted R-squared0.911571130345996
F-TEST (value)305.101459743010
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0223371027233623
Sum Squared Residuals0.0284399310102203


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.431.43180546313191-0.00180546313191148
21.431.43433063217774-0.00433063217773951
31.431.43685580122357-0.0068558012235697
41.431.4393809702694-0.00938097026939987
51.431.44190613931523-0.0119061393152301
61.431.44443130836106-0.0144313083610603
71.441.44695647740689-0.00695647740689049
81.481.449481646452720.0305183535472793
91.481.452006815498550.0279931845014491
101.481.454531984544380.0254680154556189
111.481.457057153590210.0229428464097887
121.481.459582322636040.0204176773639585
131.481.462107491681870.0178925083181283
141.481.464632660727700.0153673392722981
151.481.467157829773530.0128421702264679
161.481.469682998819360.0103170011806376
171.481.472208167865190.00779183213480743
181.481.474733336911020.00526666308897722
191.481.477258505956850.00274149404314701
201.481.479783675002680.000216324997316798
211.481.48230884404851-0.00230884404851341
221.481.48483401309434-0.00483401309434362
231.481.48735918214017-0.00735918214017384
241.481.48988435118600-0.00988435118600405
251.481.49240952023183-0.0124095202318343
261.481.49493468927766-0.0149346892776645
271.481.49745985832349-0.0174598583234947
281.481.49998502736932-0.0199850273693249
291.481.50251019641516-0.0225101964151551
301.481.50503536546099-0.0250353654609853
311.481.50756053450682-0.0275605345068155
321.481.51008570355265-0.0300857035526457
331.481.51261087259848-0.0326108725984759
341.481.51513604164431-0.0351360416443062
351.481.51766121069014-0.0376612106901364
361.481.52018637973597-0.0401863797359666
371.481.52271154878180-0.0427115487817968
381.571.525236717827630.0447632821723731
391.581.527761886873460.0522381131265429
401.581.530287055919290.0497129440807127
411.581.532812224965120.0471877750348825
421.581.535337394010950.0446626059890523
431.591.60631384088822-0.0163138408882209
441.61.60883900993405-0.00883900993405108
451.61.61136417897988-0.0113641789798813
461.611.61388934802571-0.0038893480257115
471.611.61641451707154-0.00641451707154171
481.611.61893968611737-0.00893968611737192
491.621.62146485516320-0.00146485516320212
501.631.623990024209030.00600997579096745
511.631.626515193254860.00348480674513724
521.641.629040362300690.0109596376993070
531.641.631565531346520.00843446865347683
541.641.634090700392350.00590929960764662
551.641.636615869438180.00338413056181641
561.641.639141038484010.000858961515986199
571.651.641666207529840.008333792470156
581.651.644191376575670.00580862342432578
591.651.646716545621500.00328345437849558
601.651.649241714667330.000758285332665363