Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = + 0.339186258749768 + 0.0323353633518997Treatment[t] -0.162233051977261CA[t] + 0.137637176966352Used[t] + 0.00205627503425921t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.3391862587497680.1201552.82290.0059860.002993
Treatment0.03233536335189970.1311510.24650.805880.40294
CA-0.1622330519772610.213142-0.76110.4487780.224389
Used0.1376371769663520.1347161.02170.3099720.154986
t0.002056275034259210.0022440.91620.3622770.181138


Multiple Linear Regression - Regression Statistics
Multiple R0.158606585660115
R-squared0.0251560490147595
Adjusted R-squared-0.0229843930092029
F-TEST (value)0.522555422366869
F-TEST (DF numerator)4
F-TEST (DF denominator)81
p-value0.719397945760993
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.507440033471968
Sum Squared Residuals20.8571263931726


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.3735778971359280.626422102864072
200.343298808818287-0.343298808818287
300.345355083852546-0.345355083852546
400.347411358886806-0.347411358886806
500.349467633921065-0.349467633921065
610.3515239089553240.648476091044676
700.353580183989583-0.353580183989583
800.387971822375742-0.387971822375742
910.3576927340581020.642307265941898
1000.359749009092361-0.359749009092361
1100.39414064747852-0.39414064747852
1200.363861559160879-0.363861559160879
1300.50355501116149-0.50355501116149
1400.400309472581297-0.400309472581297
1510.5076675612300080.492332438769992
1610.5420591996161670.457940800383833
1700.381882422673166-0.381882422673166
1800.408534572718334-0.408534572718334
1910.3782554844006940.621744515599306
2010.3880512477759440.611948752224056
2100.382368034469212-0.382368034469212
2210.5220614864698230.477938513530177
2310.386480584537730.61351941546227
2410.388536859571990.61146314042801
2510.56056567492450.4394343250755
2600.53028658660686-0.53028658660686
2710.3947056846747670.605294315325233
2800.534399136675378-0.534399136675378
2910.3988182347432860.601181765256714
3000.400874509777545-0.400874509777545
3100.402930784811804-0.402930784811804
3200.404987059846063-0.404987059846063
3300.407043334880323-0.407043334880323
3410.4414349732664820.558565026733518
3500.411155884948841-0.411155884948841
3600.4132121599831-0.4132121599831
3700.585240975335611-0.585240975335611
3810.554961887017970.44503811298203
3910.4193809850858780.580619014914122
4000.453772623472037-0.453772623472037
4110.3988976601434870.601102339856513
4210.5631869871550070.436813012844993
4310.4276060852229150.572393914777085
4400.461997723609073-0.461997723609073
4500.431718635291433-0.431718635291433
4610.4337749103256920.566225089674308
4700.435831185359951-0.435831185359951
4810.4378874603942110.562112539605789
4910.439943735428470.56005626457153
5000.442000010462729-0.442000010462729
5100.61402882581524-0.61402882581524
5200.453852048872238-0.453852048872238
5310.4481688355655070.551831164434493
5400.425629235588857-0.425629235588857
5500.452281385634025-0.452281385634025
5610.6243102009865360.375689799013464
5710.5940311126688950.405968887331105
5810.4584502107368030.541549789263197
5910.4605064857710620.539493514228938
6010.4703022491463120.529697750853688
6110.496954399191480.50304560080852
6200.604312487840191-0.604312487840191
6300.468731585908099-0.468731585908099
6410.5031232242942580.496876775705742
6500.472844135976617-0.472844135976617
6600.474900411010876-0.474900411010876
6700.484696174386126-0.484696174386126
6800.479012961079395-0.479012961079395
6910.4810692361136540.518930763886346
7000.620762688114265-0.620762688114265
7100.485181786182173-0.485181786182173
7210.4872380612164320.512761938783568
7310.6269315132170430.373068486782957
7400.628987788251302-0.628987788251302
7510.4934068863192090.506593113680791
7610.5277985247053680.472201475294632
7710.4975194363877280.502480563612272
7810.6372128883883390.362787111611661
7910.5093714747972370.490628525202763
8000.536023624842405-0.536023624842405
8100.505744536524765-0.505744536524765
8210.6454379885253750.354562011474625
8300.509857086593283-0.509857086593283
8400.487317486616633-0.487317486616633
8510.5139696366618010.486030363338199
8600.516025911696061-0.516025911696061


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.7953116180708780.4093767638582450.204688381929122
90.8649875235403780.2700249529192440.135012476459622
100.8048199368026760.3903601263946480.195180063197324
110.7475523947080060.5048952105839870.252447605291994
120.655747144841440.688505710317120.34425285515856
130.5623110382956270.8753779234087470.437688961704373
140.4715686796259840.9431373592519670.528431320374016
150.5596209737400330.8807580525199350.440379026259967
160.5070946242209930.9858107515580130.492905375779007
170.4257782439400280.8515564878800560.574221756059972
180.3552805122974320.7105610245948650.644719487702568
190.4935093366750970.9870186733501930.506490663324903
200.5430272102250690.9139455795498620.456972789774931
210.4993827835901310.9987655671802620.500617216409869
220.4502385863099510.9004771726199030.549761413690049
230.4684529785604070.9369059571208150.531547021439593
240.4519009961307080.9038019922614150.548099003869292
250.3966462134972520.7932924269945050.603353786502748
260.4963430890238830.9926861780477660.503656910976117
270.4748646251989050.9497292503978110.525135374801095
280.5295378283602980.9409243432794040.470462171639702
290.5067622113562210.9864755772875570.493237788643779
300.5264053834790760.9471892330418470.473594616520924
310.5236347446874790.9527305106250410.476365255312521
320.5089972124084440.9820055751831130.491002787591556
330.4886220468652720.9772440937305440.511377953134728
340.4825722011311720.9651444022623440.517427798868828
350.4658705897772790.9317411795545570.534129410222721
360.4490107682735560.8980215365471130.550989231726444
370.4801939109856950.9603878219713910.519806089014305
380.4564115870179350.9128231740358710.543588412982065
390.46088964162020.92177928324040.5391103583798
400.4558853730262110.9117707460524220.544114626973789
410.4489856089874390.8979712179748770.551014391012561
420.4217540592630160.8435081185260310.578245940736984
430.4241718781243220.8483437562486450.575828121875678
440.4304038815577650.860807763115530.569596118442235
450.4222332100989050.8444664201978110.577766789901095
460.4222417503225760.8444835006451520.577758249677424
470.4154970201476290.8309940402952580.584502979852371
480.4140064525664880.8280129051329760.585993547433512
490.418221467996560.836442935993120.58177853200344
500.4071212764341570.8142425528683130.592878723565843
510.4770227884249770.9540455768499550.522977211575023
520.4900191792510850.9800383585021690.509980820748915
530.4917327490816080.9834654981632170.508267250918392
540.4652518767032690.9305037534065390.534748123296731
550.4590230110796520.9180460221593050.540976988920348
560.4096071259925460.8192142519850920.590392874007454
570.3751748352874240.7503496705748470.624825164712576
580.3781708051443730.7563416102887470.621829194855627
590.4048663448844960.8097326897689920.595133655115504
600.4186300515584780.8372601031169550.581369948441522
610.3937938621182630.7875877242365260.606206137881737
620.3917528048792970.7835056097585950.608247195120703
630.3561228952597130.7122457905194250.643877104740287
640.3342327248423430.6684654496846860.665767275157657
650.2994642804298050.5989285608596090.700535719570195
660.2728733976681170.5457467953362340.727126602331883
670.2627049648303120.5254099296606250.737295035169688
680.2698384607375810.5396769214751620.730161539262419
690.2403745320292240.4807490640584480.759625467970776
700.3010958234380510.6021916468761030.698904176561949
710.3736823685496360.7473647370992730.626317631450364
720.3007692735975770.6015385471951530.699230726402423
730.225836348143130.4516726962862610.77416365185687
740.516740426779490.9665191464410210.48325957322051
750.4079148459435950.815829691887190.592085154056405
760.3192138800372230.6384277600744460.680786119962777
770.3352110189647730.6704220379295450.664788981035227
780.2108069890378980.4216139780757960.789193010962102


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