Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis4weken[t] = + 0.0404474960387958 + 0.213885821289672Treatment4weken[t] -0.000403322610073464treatment2weken[t] + 0.156383540596341CorrectAnalysis2weken[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.04044749603879580.0599350.67490.5016630.250831
Treatment4weken0.2138858212896720.0722152.96180.0040.002
treatment2weken-0.0004033226100734640.068254-0.00590.99530.49765
CorrectAnalysis2weken0.1563835405963410.1518171.03010.3060020.153001


Multiple Linear Regression - Regression Statistics
Multiple R0.326581656365066
R-squared0.10665557827415
Adjusted R-squared0.073972245771985
F-TEST (value)3.26330181498733
F-TEST (DF numerator)3
F-TEST (DF denominator)82
p-value0.0255129820570561
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.296292003361238
Sum Squared Residuals7.19869400297691


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.253929994718394-0.253929994718394
200.0404474960387957-0.0404474960387957
300.0400441734287223-0.0400441734287223
400.0400441734287224-0.0400441734287224
500.0400441734287223-0.0400441734287223
600.0404474960387958-0.0404474960387958
700.0400441734287223-0.0400441734287223
800.253929994718394-0.253929994718394
900.0404474960387958-0.0404474960387958
1000.0400441734287223-0.0400441734287223
1100.254333317328468-0.254333317328468
1200.0400441734287223-0.0400441734287223
1300.0400441734287223-0.0400441734287223
1400.253929994718394-0.253929994718394
1500.0400441734287223-0.0400441734287223
1600.253929994718394-0.253929994718394
1710.2539299947183940.746070005281606
1800.253929994718394-0.253929994718394
1900.0404474960387958-0.0404474960387958
2010.2539299947183940.746070005281606
2100.0400441734287223-0.0400441734287223
2200.0404474960387958-0.0404474960387958
2300.0400441734287223-0.0400441734287223
2400.0400441734287223-0.0400441734287223
2500.254333317328468-0.254333317328468
2600.0404474960387958-0.0404474960387958
2700.0400441734287223-0.0400441734287223
2800.0404474960387958-0.0404474960387958
2900.0400441734287223-0.0400441734287223
3000.0400441734287223-0.0400441734287223
3100.0400441734287223-0.0400441734287223
3200.0400441734287223-0.0400441734287223
3300.0400441734287223-0.0400441734287223
3400.253929994718394-0.253929994718394
3500.0400441734287223-0.0400441734287223
3600.0400441734287223-0.0400441734287223
3700.254333317328468-0.254333317328468
3800.0400441734287223-0.0400441734287223
3900.0400441734287223-0.0400441734287223
4000.254333317328468-0.254333317328468
4110.04004417342872220.959955826571278
4200.0400441734287223-0.0400441734287223
4300.0400441734287223-0.0400441734287223
4400.253929994718394-0.253929994718394
4500.0400441734287223-0.0400441734287223
4600.0400441734287223-0.0400441734287223
4700.0400441734287223-0.0400441734287223
4800.0400441734287223-0.0400441734287223
4900.0400441734287223-0.0400441734287223
5000.0400441734287223-0.0400441734287223
5100.253929994718394-0.253929994718394
5210.2543333173284680.745666682671532
5300.0404474960387958-0.0404474960387958
5410.04004417342872220.959955826571278
5500.196427714025064-0.196427714025064
5600.254333317328468-0.254333317328468
5700.0400441734287223-0.0400441734287223
5800.0400441734287223-0.0400441734287223
5900.0400441734287223-0.0400441734287223
6010.2543333173284680.745666682671532
6100.254333317328468-0.254333317328468
6200.0404474960387958-0.0404474960387958
6300.0400441734287223-0.0400441734287223
6400.253929994718394-0.253929994718394
6500.0400441734287223-0.0400441734287223
6600.196427714025064-0.196427714025064
6710.4103135353147360.589686464685264
6800.0400441734287223-0.0400441734287223
6900.0404474960387958-0.0404474960387958
7000.0404474960387958-0.0404474960387958
7100.0404474960387958-0.0404474960387958
7210.04044749603879580.959552503961204
7300.0404474960387958-0.0404474960387958
7410.2539299947183940.746070005281606
7500.0404474960387958-0.0404474960387958
7600.196831036635137-0.196831036635137
7700.0404474960387958-0.0404474960387958
7800.253929994718394-0.253929994718394
7900.0404474960387958-0.0404474960387958
8000.0400441734287223-0.0400441734287223
8100.0400441734287223-0.0400441734287223
8200.0400441734287223-0.0400441734287223
8300.0404474960387958-0.0404474960387958
8400.0400441734287223-0.0400441734287223
8500.253929994718394-0.253929994718394
8600.0404474960387958-0.0404474960387958


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
7001
8001
9001
10001
11001
12001
13001
14001
15001
16001
170.202811893825780.4056237876515590.79718810617422
180.1679142913199340.3358285826398670.832085708680066
190.1187684906250950.237536981250190.881231509374905
200.5441450389424610.9117099221150780.455854961057539
210.4651566369287880.9303132738575760.534843363071212
220.3899383746465440.7798767492930870.610061625353457
230.3184630798849990.6369261597699990.681536920115001
240.2539745912699940.5079491825399870.746025408730006
250.2228883742143170.4457767484286340.777111625785683
260.1733936120268510.3467872240537030.826606387973148
270.1306889044074480.2613778088148960.869311095592552
280.09706079795718770.1941215959143750.902939202042812
290.0698061120076410.1396122240152820.930193887992359
300.0490137842044460.0980275684088920.950986215795554
310.03360059249451030.06720118498902060.96639940750549
320.02249154094582150.0449830818916430.977508459054178
330.01470222712735810.02940445425471610.985297772872642
340.01304357391138410.02608714782276830.986956426088616
350.008305757793962080.01661151558792420.991694242206038
360.005167928074988280.01033585614997660.994832071925012
370.004057162653204480.008114325306408960.995942837346796
380.002443815156611850.00488763031322370.997556184843388
390.001438675284004450.00287735056800890.998561324715996
400.001127483424780240.002254966849560480.99887251657522
410.09462593397202710.1892518679440540.905374066027973
420.07060435690943070.1412087138188610.929395643090569
430.05156258064711120.1031251612942220.948437419352889
440.04810606639918580.09621213279837160.951893933600814
450.03422929810780760.06845859621561510.965770701892192
460.02381862555907210.04763725111814420.976181374440928
470.0162030619527460.0324061239054920.983796938047254
480.01077168832727560.02154337665455120.989228311672724
490.006995591563453030.01399118312690610.993004408436547
500.004436805334553880.008873610669107750.995563194665446
510.004279621813932840.008559243627865680.995720378186067
520.0414641825853010.0829283651706020.958535817414699
530.02907749541224230.05815499082448450.970922504587758
540.337154339967210.674308679934420.66284566003279
550.2893527606810960.5787055213621920.710647239318904
560.3086744743492580.6173489486985170.691325525650742
570.2522399998490430.5044799996980860.747760000150957
580.2014349568012320.4028699136024650.798565043198768
590.1570145863650920.3140291727301840.842985413634908
600.3683125771314460.7366251542628930.631687422868554
610.3840792191704790.7681584383409590.615920780829521
620.3190560616262110.6381121232524210.680943938373789
630.2568632514607230.5137265029214450.743136748539277
640.281008375590020.562016751180040.71899162440998
650.220938676803770.441877353607540.77906132319623
660.1803937829336060.3607875658672130.819606217066394
670.29939065602550.5987813120509990.7006093439745
680.2324370530500670.4648741061001340.767562946949933
690.1782018678967140.3564037357934290.821798132103286
700.1326657119845190.2653314239690380.867334288015481
710.09603439333479650.1920687866695930.903965606665204
720.7157945382956590.5684109234086810.284205461704341
730.6217636623473670.7564726753052670.378236337652633
74100
75100
76100
77100
78100
79100


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.301369863013699NOK
5% type I error level310.424657534246575NOK
10% type I error level370.506849315068493NOK