Multiple Linear Regression - Estimated Regression Equation
Treatment[t] = + 6.12169617422602 -1.48877836515546Weeks[t] + 0.15397515296179UseLimit[t] + 0.23493996617801Used[t] + 0.0729551860382186CorrectAnalysis[t] -0.0351465383200859Useful[t] -0.0300509154692246Outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.121696174226020.119951.056500
Weeks-1.488778365155460.035893-41.477900
UseLimit0.153975152961790.0743762.07020.0401810.020091
Used0.234939966178010.0864762.71680.0073820.003691
CorrectAnalysis0.07295518603821860.144590.50460.614620.30731
Useful-0.03514653832008590.083024-0.42330.6726730.336337
Outcome-0.03005091546922460.072082-0.41690.6773590.33868


Multiple Linear Regression - Regression Statistics
Multiple R0.963220612556397
R-squared0.92779394845352
Adjusted R-squared0.924846762676112
F-TEST (value)314.806740574631
F-TEST (DF numerator)6
F-TEST (DF denominator)147
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.424814412351138
Sum Squared Residuals26.5286908863627


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.2905069510967510.709493048903249
200.16658271360419-0.16658271360419
300.16658271360419-0.16658271360419
400.16658271360419-0.16658271360419
500.166582713604191-0.166582713604191
600.255360412776669-0.255360412776669
700.16658271360419-0.16658271360419
810.1665827136041910.833417286395809
900.136531798134966-0.136531798134966
1000.32055786656598-0.32055786656598
1110.320557866565980.67944213343402
1200.16658271360419-0.16658271360419
1300.366376141462114-0.366376141462114
1410.320557866565980.67944213343402
1500.33632522599289-0.33632522599289
1610.336325225992890.66367477400711
1710.5933064804621220.406693519537878
1810.320557866565980.67944213343402
1900.136531798134966-0.136531798134966
2010.4092804120311080.590719587968892
2100.285411328245894-0.285411328245894
2200.490300378954679-0.490300378954679
2300.10138525981488-0.10138525981488
2400.255360412776669-0.255360412776669
2510.3714717643129750.628528235687025
2600.366376141462114-0.366376141462114
2700.290506951096755-0.290506951096755
2800.4015226797822-0.4015226797822
2900.136531798134966-0.136531798134966
3000.131436175284105-0.131436175284105
3100.16658271360419-0.16658271360419
3200.32055786656598-0.32055786656598
3300.285411328245894-0.285411328245894
3410.1365317981349660.863468201865034
3500.16658271360419-0.16658271360419
3600.16658271360419-0.16658271360419
3710.5203512944239040.479648705576096
3800.371471764312976-0.371471764312976
3900.10138525981488-0.10138525981488
4010.1314361752841050.868563824715895
4100.409280412031108-0.409280412031108
4200.371471764312976-0.371471764312976
4300.255360412776669-0.255360412776669
4410.320557866565980.67944213343402
4500.131436175284105-0.131436175284105
4600.10138525981488-0.10138525981488
4700.16658271360419-0.16658271360419
4800.136531798134966-0.136531798134966
4900.10138525981488-0.10138525981488
5000.16658271360419-0.16658271360419
5110.40152267978220.5984773202178
5210.5933064804621220.406693519537878
5300.136531798134966-0.136531798134966
5400.474477865820419-0.474477865820419
5500.16658271360419-0.16658271360419
5610.3714717643129750.628528235687025
5700.33632522599289-0.33632522599289
5800.136531798134966-0.136531798134966
5900.136531798134966-0.136531798134966
6010.5632555649928980.436744435007102
6110.2905069510967560.709493048903244
6200.366376141462114-0.366376141462114
6300.16658271360419-0.16658271360419
6410.2905069510967560.709493048903244
6500.16658271360419-0.16658271360419
6600.16658271360419-0.16658271360419
6710.4393313275003330.560668672499667
6800.32055786656598-0.32055786656598
6900.136531798134966-0.136531798134966
7000.4015226797822-0.4015226797822
7100.16658271360419-0.16658271360419
7200.136531798134966-0.136531798134966
7300.371471764312976-0.371471764312976
7400.55549783274399-0.55549783274399
7500.136531798134966-0.136531798134966
7610.101385259814880.89861474018512
7700.136531798134966-0.136531798134966
7800.33632522599289-0.33632522599289
7910.4444269503511940.555573049648806
8010.1314361752841050.868563824715895
8100.16658271360419-0.16658271360419
8200.525446917274765-0.525446917274765
8300.16658271360419-0.16658271360419
8400.474477865820419-0.474477865820419
8500.10138525981488-0.10138525981488
8600.32055786656598-0.32055786656598
8733.26806368140767-0.268063681407672
8843.503003647585680.496996352414318
8933.14413944391511-0.144139443915107
9033.11408852844588-0.114088528445883
9133.10899290559502-0.108992905595022
9243.29811459687690.701885403123103
9333.26296805855681-0.262968058556811
9433.14413944391511-0.144139443915107
9543.144139443915110.855860556084892
9633.11408852844588-0.114088528445883
9743.29811459687690.701885403123103
9833.14413944391511-0.144139443915107
9933.2981145968769-0.298114596876897
10033.11408852844588-0.114088528445883
10133.26806368140767-0.268063681407672
10233.14413944391511-0.144139443915107
10333.14413944391511-0.144139443915107
10433.14413944391511-0.144139443915107
10543.379079410093120.620920589906882
10633.14413944391511-0.144139443915107
10733.14413944391511-0.144139443915107
10843.533054563054910.466945436945093
10933.14413944391511-0.144139443915107
11033.2981145968769-0.298114596876897
11143.497908024734820.502091975265179
11243.144139443915110.855860556084892
11333.37907941009312-0.379079410093117
11443.533054563054910.466945436945093
11533.2981145968769-0.298114596876897
11633.14413944391511-0.144139443915107
11733.26806368140767-0.268063681407672
11833.2981145968769-0.298114596876897
11933.14413944391511-0.144139443915107
12033.11408852844588-0.114088528445883
12133.2981145968769-0.298114596876897
12233.14413944391511-0.144139443915107
12343.533054563054910.466945436945093
12433.31388195630381-0.313881956303807
12533.11408852844588-0.114088528445883
12643.144139443915110.855860556084892
12733.10899290559502-0.108992905595022
12833.11408852844588-0.114088528445883
12933.14413944391511-0.144139443915107
13033.11408852844588-0.114088528445883
13133.2981145968769-0.298114596876897
13233.26806368140767-0.268063681407672
13333.53305456305491-0.533054563054907
13433.14413944391511-0.144139443915107
13533.14413944391511-0.144139443915107
13633.14413944391511-0.144139443915107
13733.4678571092656-0.467857109265596
13843.46785710926560.532142890734404
13943.144139443915110.855860556084892
14033.14413944391511-0.144139443915107
14133.42198368066211-0.421983680662111
14243.349028494623890.650971505376107
14333.2981145968769-0.298114596876897
14433.0789419901258-0.0789419901257969
14533.10899290559502-0.108992905595022
14643.114088528445880.885911471554117
14743.379079410093120.620920589906882
14843.144139443915110.855860556084892
14933.2981145968769-0.298114596876897
15033.0789419901258-0.0789419901257969
15133.11408852844588-0.114088528445883
15233.60600974909313-0.606009749093126
15333.57086321077304-0.570863210773039
15433.53305456305491-0.533054563054907


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.920676014939960.158647970120080.0793239850600402
110.9133124605212270.1733750789575450.0866875394787727
120.8537168626908680.2925662746182640.146283137309132
130.7766674997310190.4466650005379630.223332500268981
140.7398931828270830.5202136343458350.260106817172917
150.6518046871077990.6963906257844010.348195312892201
160.7949870206263790.4100259587472420.205012979373621
170.7283986355053930.5432027289892140.271601364494607
180.6965319559218850.6069360881562290.303468044078115
190.6373779766371530.7252440467256940.362622023362847
200.6243294594334760.7513410811330480.375670540566524
210.551750653277680.8964986934446410.44824934672232
220.7009886963531260.5980226072937470.299011303646874
230.6625076873851840.6749846252296320.337492312614816
240.6011849270427820.7976301459144370.398815072957218
250.5643054766417760.8713890467164490.435694523358224
260.5046923193266890.9906153613466210.495307680673311
270.5786414858139610.8427170283720780.421358514186039
280.6301457978888820.7397084042222360.369854202111118
290.5836990255629770.8326019488740460.416300974437023
300.5369354838352050.926129032329590.463064516164795
310.4829255221455230.9658510442910460.517074477854477
320.48414653798710.9682930759741990.5158534620129
330.4291800798205090.8583601596410190.570819920179491
340.566067503166840.8678649936663210.43393249683316
350.5158976272304750.9682047455390490.484102372769525
360.4650055984567640.9300111969135270.534994401543236
370.5172902095143420.9654195809713160.482709790485658
380.5475459681921370.9049080636157260.452454031807863
390.4930380621030770.9860761242061550.506961937896923
400.7286083119372380.5427833761255240.271391688062762
410.7772449105241320.4455101789517350.222755089475868
420.7638700985773370.4722598028453250.236129901422663
430.734199432783950.53160113443210.26580056721605
440.7735246961815090.4529506076369830.226475303818492
450.732594935850420.5348101282991590.267405064149579
460.6883866550471120.6232266899057760.311613344952888
470.6492398866550940.7015202266898120.350760113344906
480.6042319839263390.7915360321473220.395768016073661
490.5550000696958360.8899998606083280.444999930304164
500.5119212353011350.976157529397730.488078764698865
510.5553853576261780.8892292847476440.444614642373822
520.5307036162066440.9385927675867120.469296383793356
530.4838484911936050.967696982387210.516151508806395
540.5386618848339140.9226762303321710.461338115166086
550.4948646781863320.9897293563726640.505135321813668
560.5453811729331240.9092376541337510.454618827066876
570.521362446164730.957275107670540.47863755383527
580.4756196799658270.9512393599316550.524380320034173
590.4302422363652140.8604844727304280.569757763634786
600.4235422294708220.8470844589416450.576457770529178
610.4960405881938810.9920811763877630.503959411806119
620.4784557163525490.9569114327050980.521544283647451
630.4353221050620720.8706442101241450.564677894937928
640.5253460945162370.9493078109675250.474653905483763
650.4812875453184540.9625750906369080.518712454681546
660.4375174573652690.8750349147305370.562482542634731
670.4947536391717470.9895072783434940.505246360828253
680.4893604853558360.9787209707116720.510639514644164
690.4446031549650890.8892063099301770.555396845034911
700.4474481826083440.8948963652166880.552551817391656
710.4048846474521550.8097692949043110.595115352547845
720.3621823230514560.7243646461029120.637817676948544
730.3630485405586590.7260970811173180.636951459441341
740.4207102930450380.8414205860900760.579289706954962
750.3801986061764440.7603972123528870.619801393823556
760.5780216159935770.8439567680128450.421978384006423
770.5347896277313330.9304207445373350.465210372268667
780.5284645265533840.9430709468932310.471535473446616
790.6227484645229370.7545030709541260.377251535477063
800.8106549676751930.3786900646496140.189345032324807
810.7780673863499730.4438652273000550.221932613650028
820.7889958642893080.4220082714213840.211004135710692
830.7558639000225160.4882721999549680.244136099977484
840.7533645503829060.4932708992341870.246635449617094
850.7191446956234020.5617106087531960.280855304376598
860.6927715336872440.6144569326255110.307228466312756
870.6504027907808440.6991944184383120.349597209219156
880.6745311731582490.6509376536835020.325468826841751
890.6389655514812270.7220688970375470.361034448518773
900.5955066228420550.808986754315890.404493377157945
910.5489091999323680.9021816001352640.451090800067632
920.6611701120466540.6776597759066920.338829887953346
930.631085565613690.737828868772620.36891443438631
940.5933273220558540.8133453558882920.406672677944146
950.725541536403460.5489169271930790.27445846359654
960.6880630512359110.6238738975281780.311936948764089
970.802665593265580.3946688134688410.19733440673442
980.7749052610216660.4501894779566690.225094738978334
990.7529834886586810.4940330226826370.247016511341318
1000.716000969466510.567998061066980.28399903053349
1010.6857364956419290.6285270087161420.314263504358071
1020.6481377519565580.7037244960868830.351862248043442
1030.6093442238341980.7813115523316040.390655776165802
1040.5699101503943880.8601796992112240.430089849605612
1050.5781888396454940.8436223207090120.421811160354506
1060.5385536422921260.9228927154157480.461446357707874
1070.4991965263833890.9983930527667790.500803473616611
1080.4979101463300060.9958202926600130.502089853669994
1090.4594287494265970.9188574988531950.540571250573403
1100.4225311343620670.8450622687241340.577468865637933
1110.465667759931160.931335519862320.53433224006884
1120.60803782704980.78392434590040.3919621729502
1130.6901430779515680.6197138440968650.309856922048432
1140.6972284219072960.6055431561854080.302771578092704
1150.658503649737180.6829927005256390.34149635026282
1160.6219403304995150.756119339000970.378059669500485
1170.5758774836515570.8482450326968870.424122516348443
1180.5285489774960090.9429020450079830.471451022503991
1190.4900715242231180.9801430484462350.509928475776882
1200.4425554423831250.8851108847662490.557444557616875
1210.3927454325106940.7854908650213890.607254567489306
1220.3581566818979720.7163133637959450.641843318102028
1230.3838466561324010.7676933122648020.616153343867599
1240.4112872745511230.8225745491022460.588712725448877
1250.3704223223294460.7408446446588920.629577677670554
1260.5202607189218150.9594785621563690.479739281078185
1270.4587025535921420.9174051071842850.541297446407857
1280.4169015490224850.833803098044970.583098450977515
1290.3736232076179290.7472464152358590.62637679238207
1300.343938842767310.687877685534620.65606115723269
1310.2861959872329310.5723919744658620.713804012767069
1320.2297811815496750.4595623630993510.770218818450325
1330.239599510913110.4791990218262190.760400489086891
1340.2088013553422120.4176027106844240.791198644657788
1350.186940527994830.3738810559896610.81305947200517
1360.1771018488415420.3542036976830840.822898151158458
1370.1615964112828140.3231928225656280.838403588717186
1380.3175400420467050.635080084093410.682459957953295
1390.3471380879832950.6942761759665910.652861912016705
1400.4233576390739140.8467152781478290.576642360926086
1410.5503194074364390.8993611851271230.449680592563561
1420.4832870277418110.9665740554836220.516712972258189
1430.3481829895253360.6963659790506720.651817010474664
1440.2151604931506130.4303209863012270.784839506849387


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