Multiple Linear Regression - Estimated Regression Equation
T20[t] = + 0.178039215686275 + 0.404313725490196Used[t] -0.18Useful[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1780392156862750.0590273.01620.003650.001825
Used0.4043137254901960.1161253.48170.0008960.000448
Useful-0.180.136553-1.31820.1920750.096037


Multiple Linear Regression - Regression Statistics
Multiple R0.401515774708149
R-squared0.161214917339485
Adjusted R-squared0.135406145565315
F-TEST (value)6.24651644604158
F-TEST (DF numerator)2
F-TEST (DF denominator)65
p-value0.00330101646474878
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.40562411178372
Sum Squared Residuals10.6945098039216


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.178039215686275-0.178039215686275
210.5823529411764710.417647058823529
300.178039215686274-0.178039215686274
400.178039215686274-0.178039215686274
50-0.00196078431372550.0019607843137255
610.1780392156862750.821960784313725
70-0.00196078431372550.0019607843137255
800.178039215686274-0.178039215686274
910.1780392156862750.821960784313725
1000.178039215686274-0.178039215686274
1110.1780392156862750.821960784313725
1200.178039215686274-0.178039215686274
1300.178039215686274-0.178039215686274
1400.178039215686274-0.178039215686274
1500.178039215686274-0.178039215686274
1600.178039215686274-0.178039215686274
1700.178039215686274-0.178039215686274
1800.178039215686274-0.178039215686274
1910.5823529411764710.417647058823529
2000.178039215686274-0.178039215686274
2100.178039215686274-0.178039215686274
2210.5823529411764710.417647058823529
2300.178039215686274-0.178039215686274
2400.178039215686274-0.178039215686274
2510.4023529411764710.597647058823529
2610.1780392156862750.821960784313725
2700.582352941176471-0.582352941176471
2810.5823529411764710.417647058823529
2900.178039215686274-0.178039215686274
3000.178039215686274-0.178039215686274
3100.178039215686274-0.178039215686274
3200.178039215686274-0.178039215686274
3300.178039215686274-0.178039215686274
3400.178039215686274-0.178039215686274
3500.178039215686274-0.178039215686274
3600.178039215686274-0.178039215686274
3710.5823529411764710.417647058823529
3800.402352941176471-0.402352941176471
3900.178039215686274-0.178039215686274
4010.1780392156862750.821960784313725
410-0.00196078431372550.0019607843137255
4200.178039215686274-0.178039215686274
4300.178039215686274-0.178039215686274
4400.178039215686274-0.178039215686274
4500.178039215686274-0.178039215686274
4600.178039215686274-0.178039215686274
4700.582352941176471-0.582352941176471
4800.178039215686274-0.178039215686274
4900.178039215686274-0.178039215686274
5000.178039215686274-0.178039215686274
5100.402352941176471-0.402352941176471
5210.4023529411764710.597647058823529
5310.1780392156862750.821960784313725
5400.178039215686274-0.178039215686274
5500.582352941176471-0.582352941176471
5610.5823529411764710.417647058823529
5700.178039215686274-0.178039215686274
580-0.00196078431372550.0019607843137255
590-0.00196078431372550.0019607843137255
6010.1780392156862750.821960784313725
6110.5823529411764710.417647058823529
6210.1780392156862750.821960784313725
6300.178039215686274-0.178039215686274
640-0.00196078431372550.0019607843137255
6500.178039215686274-0.178039215686274
6600.582352941176471-0.582352941176471
6700.402352941176471-0.402352941176471
6800.582352941176471-0.582352941176471


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7801108174836930.4397783650326130.219889182516307
70.642804241537630.714391516924740.35719575846237
80.5376290881235660.9247418237528670.462370911876434
90.7621000293715320.4757999412569360.237899970628468
100.7077615361347210.5844769277305570.292238463865279
110.8325582961378310.3348834077243370.167441703862169
120.8010017396951630.3979965206096740.198998260304837
130.760067143102020.4798657137959590.23993285689798
140.7107983334192850.578403333161430.289201666580715
150.6544149745147670.6911700509704660.345585025485233
160.5924997571192950.815000485761410.407500242880705
170.5269887586328110.9460224827343780.473011241367189
180.4600487313757640.9200974627515270.539951268624236
190.4017324624211010.8034649248422020.598267537578899
200.3395992146153990.6791984292307980.660400785384601
210.2813263114177490.5626526228354980.718673688582251
220.2415922866627010.4831845733254010.7584077133373
230.1939378318350690.3878756636701380.806062168164931
240.1524960759639850.3049921519279690.847503924036015
250.1487948605712540.2975897211425090.851205139428746
260.359329323173370.718658646346740.64067067682663
270.5639659650838410.8720680698323190.436034034916159
280.551322931338560.897354137322880.44867706866144
290.4916388926290250.983277785258050.508361107370975
300.4320628836552360.8641257673104720.567937116344764
310.3740339163095180.7480678326190350.625966083690482
320.3188697317776560.6377394635553120.681130268222344
330.2676765402053970.5353530804107940.732323459794603
340.2212848714030560.4425697428061120.778715128596944
350.1802173424534120.3604346849068250.819782657546588
360.14468902067670.2893780413533990.8553109793233
370.1478923272309340.2957846544618690.852107672769066
380.1799025833366820.3598051666733640.820097416663318
390.1447463131193360.2894926262386720.855253686880664
400.3077325122565480.6154650245130950.692267487743452
410.2473690483149940.4947380966299880.752630951685006
420.2026395628123480.4052791256246970.797360437187652
430.1634454994468520.3268909988937040.836554500553148
440.1299629079212810.2599258158425610.870037092078719
450.1020833579165390.2041667158330770.897916642083461
460.07946980760658330.1589396152131670.920530192393417
470.1081142935927080.2162285871854170.891885706407291
480.08543291493360180.1708658298672040.914567085066398
490.06783314886933830.1356662977386770.932166851130662
500.05484163293747030.1096832658749410.94515836706253
510.04742875425656790.09485750851313580.952571245743432
520.1115983071282050.2231966142564090.888401692871795
530.1942520626726920.3885041253453840.805747937327308
540.1693992657864370.3387985315728740.830600734213563
550.1902970340995210.3805940681990420.809702965900479
560.2304126752115870.4608253504231740.769587324788413
570.2189458770842580.4378917541685150.781054122915742
580.1477519536625420.2955039073250850.852248046337458
590.09221074129925310.1844214825985060.907789258700747
600.1445477133189480.2890954266378960.855452286681052
610.3443421549358860.6886843098717710.655657845064114
62100


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0175438596491228NOK
5% type I error level10.0175438596491228OK
10% type I error level20.0350877192982456OK