Multiple Linear Regression - Estimated Regression Equation
SWS[t] = + 11.3409265669514 -0.884140713721668D[t] -1.34854202512744Wb[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.34092656695140.88323712.840200
D-0.8841407137216680.316571-2.79290.0076450.003822
Wb-1.348542025127440.33315-4.04780.0002011e-04


Multiple Linear Regression - Regression Statistics
Multiple R0.662227823893283
R-squared0.438545690738434
Adjusted R-squared0.413592165882364
F-TEST (value)17.5744987238451
F-TEST (DF numerator)2
F-TEST (DF denominator)45
p-value2.28862394813234e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.80766861544295
Sum Squared Residuals354.735137436449


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16.38.68850442578636-2.38850442578635
22.13.21122957448064-1.11122957448064
39.16.424805220359322.67519477964067
415.812.66569769038843.13430230961156
55.24.832177088683820.367822911316181
610.99.756892542188561.14310745781144
78.38.141339196085890.158660803914115
8118.30602134541212.6939786545879
93.23.32366141732815-0.123661417328148
107.69.92326606604116-2.32326606604116
116.311.9738956314981-5.67389563149806
128.68.92939059352224-0.32939059352224
136.69.7142420521464-3.11424205214641
149.510.5152760150721-1.01527601507211
154.810.2558530914857-5.45585309148571
16128.059078132553113.94092186744689
173.34.97562539810926-1.67562539810926
181110.81465234465040.185347655349603
194.77.85544828675887-3.15544828675887
2010.410.03165228281330.368347717186713
217.47.78143849763753-0.381438497637525
222.13.25623431607178-1.15623431607178
237.710.9073589118829-3.20735891188293
2417.913.15386990348464.74613009651543
256.18.04019854420133-1.94019854420133
268.211.6893532641962-3.48935326419617
278.48.51319396251979-0.113193962519793
2811.910.89741626294511.00258373705490
2910.810.46723135692940.332768643070551
3013.810.14662118745043.65337881254962
3114.39.723178991560374.57682100843963
3215.210.00283004552375.19716995447632
33106.455821686937253.54417831306275
3411.99.289451314231262.61054868576873
356.54.725642268698751.77435773130125
367.56.38350327234231.11649672765770
3710.69.434248165681831.16575183431817
387.49.6112500034748-2.21125000347479
398.48.44930963257687-0.0493096325768718
405.79.74121289264896-4.04121289264896
414.97.9387150598155-3.03871505981550
423.24.56836570652077-1.36836570652077
438.111.2205634942138-3.12056349421376
44119.63467807266391.36532192733611
454.98.282593276223-3.382593276223
4613.210.89826195020832.3017380497917
479.76.965570572435432.73442942756457
4812.89.723178991560373.07682100843963


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.4577323674733460.9154647349466930.542267632526654
70.2878519032414060.5757038064828120.712148096758594
80.1934012444968060.3868024889936130.806598755503194
90.1064614216393650.2129228432787310.893538578360635
100.1756168538311310.3512337076622610.82438314616887
110.541440436738010.917119126523980.45855956326199
120.4293860313376510.8587720626753030.570613968662349
130.4236061260505540.8472122521011070.576393873949447
140.3300900383377860.6601800766755720.669909961662214
150.4888230174959280.9776460349918560.511176982504072
160.6495241094938160.7009517810123690.350475890506184
170.5891641694320.8216716611360.410835830568
180.5073302298151120.9853395403697760.492669770184888
190.520867024668670.958265950662660.47913297533133
200.4353679114404540.8707358228809070.564632088559546
210.3493578105181760.6987156210363520.650642189481824
220.2847848554847920.5695697109695840.715215144515208
230.2910534029894670.5821068059789330.708946597010533
240.4637530866583610.9275061733167210.536246913341639
250.4355377579172530.8710755158345050.564462242082747
260.4880884941403520.9761769882807040.511911505859648
270.4043172062119970.8086344124239940.595682793788003
280.3351449232182060.6702898464364120.664855076781794
290.2599035580942710.5198071161885420.740096441905729
300.2857325712588090.5714651425176180.714267428741191
310.377034296868120.754068593736240.62296570313188
320.5796807207242500.8406385585515010.420319279275750
330.6096781878662320.7806436242675360.390321812133768
340.6033660056413480.7932679887173030.396633994358652
350.5381859613418590.9236280773162820.461814038658141
360.4558115076599910.9116230153199810.544188492340009
370.3874506314916730.7749012629833470.612549368508327
380.3524422466093120.7048844932186240.647557753390688
390.2487487305435910.4974974610871820.751251269456409
400.3275741512536740.6551483025073480.672425848746326
410.3353894609739050.670778921947810.664610539026095
420.2338353876884910.4676707753769830.766164612311508


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK