Multiple Linear Regression - Estimated Regression Equation
2[t] = + 3.11941559995439 -0.0248257882582853Gender[t] + 0.149142729951181`1`[t] + 0.174803274733051`3`[t] + 0.0106383141855662`4`[t] + 0.0676734018396659`5`[t] -0.158257532633852`6`[t] + 0.305953884189291`7`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.119415599954390.6850564.55351.1e-055e-06
Gender-0.02482578825828530.102878-0.24130.8096290.404814
`1`0.1491427299511810.0796321.87290.0629540.031477
`3`0.1748032747330510.065712.66020.0086240.004312
`4`0.01063831418556620.0936360.11360.909690.454845
`5`0.06767340183966590.0666741.0150.3116840.155842
`6`-0.1582575326338520.086814-1.8230.0702250.035113
`7`0.3059538841892910.0704394.34352.5e-051.3e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.652678721324735
R-squared0.425989513270091
Adjusted R-squared0.400232632455288
F-TEST (value)16.5388626182273
F-TEST (DF numerator)7
F-TEST (DF denominator)156
p-value3.33066907387547e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.03415253299385
Sum Squared Residuals166.837547993625


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
176.570288354024640.429711645975362
265.559330239705640.440669760294363
366.44234511933744-0.442345119337444
455.70195391987103-0.701953919871029
565.526315888614390.473684111385608
675.70210798280151.29789201719850
775.671446192101111.32855380789889
876.296360001472550.703639998527454
976.462092528570050.537907471429947
1065.856169321212260.143830678787742
1145.51974707614585-1.51974707614585
1265.706221539565650.293778460434353
1365.648467992104080.351532007895918
1476.223812046220430.776187953779573
1566.31401575118008-0.314015751180080
1665.676293375089160.323706624910842
1745.31396080634144-1.31396080634144
1876.613135967606030.386864032393973
1975.210222075975711.78977792402429
2065.363862161757450.63613783824255
2134.84715597102517-1.84715597102517
2276.029526217549570.970473782450432
2354.717532827500850.282467172499153
2475.498282725587071.50171727441293
2565.313960806341440.686039193658562
2656.00806186699079-1.00806186699079
2756.00806186699079-1.00806186699079
2865.589715963123810.410284036876188
2955.30968352458217-0.30968352458217
3065.988766309064240.0112336909357612
3166.05090948057217-0.0509094805721697
3255.38452696497259-0.384526964972586
3345.1541406886168-1.15414068861680
3454.710511437549860.289488562450145
3545.03575517203007-1.03575517203007
3665.977328650818870.0226713491811295
3765.61224626624380.3877537337562
3875.836262141413551.16373785858645
3976.680809369445690.319190630554307
4076.101395813612330.898604186387675
4175.905850602556981.09414939744302
4256.05499333250816-1.05499333250816
4365.694754176492120.305245823507876
4465.876106205839120.123893794160882
4535.46027263292909-2.46027263292909
4665.321661582512010.678338417487992
4755.82391259353744-0.823912593537444
4845.50156723346326-1.50156723346326
4966.19986844276473-0.199868442764727
5065.601459596763390.398540403236607
5166.07638625759542-0.0763862575954163
5255.48422589844944-0.484225898449442
5365.907374114059880.0926258859401215
5454.379553411674360.620446588325635
5576.379774093715980.620225906284019
5665.426539822030380.573460177969619
5765.865284123894930.134715876105071
5876.071539074607360.928460925392636
5944.77658981239402-0.776589812394022
6036.32548882188923-3.32548882188923
6145.96165938588663-1.96165938588663
6245.40435721494798-1.40435721494798
6355.75178926414622-0.751789264146223
6445.6336295292664-1.63362952926640
6565.203821969961530.79617803003847
6675.63362952926641.36637047073360
6766.31629688609941-0.316296886099406
6866.2140856216656-0.214085621665601
6966.18778375018342-0.187783750183419
7065.562802469769480.437197530230524
7176.374258213603220.625741786396782
7266.03016754424988-0.0301675442498785
7365.575070930109410.424929069890593
7466.0351687901684-0.0351687901684002
7576.488819025913130.511180974086868
7654.912961741840070.0870382581599312
7745.07121927447392-1.07121927447392
7876.463993237654850.536006762345154
7976.438332692872980.561667307127024
8063.852506113934962.14749388606504
8175.377356926421841.62264307357816
8265.963299194105640.0367008058943570
8355.81671285015854-0.816712850158538
8475.441639185733841.55836081426616
8565.223946576776040.776053423223963
8656.3748554852564-1.3748554852564
8766.0038656727677-0.00386567276769755
8854.957149099165720.0428509008342788
8976.292213569932210.70778643006779
9065.785338307286310.214661692713691
9124.82085409954299-2.82085409954299
9256.27409059921834-1.27409059921834
9375.919646528828831.08035347117117
9476.444056353027990.555943646972014
9575.636195577335131.36380442266487
9675.922396344656181.07760365534382
9765.588866856381260.411133143618744
9855.2369077465243-0.236907746524301
9965.147566168512630.852433831487367
10065.897382834210250.102617165789749
10155.20827731184379-0.208277311843794
10275.693871991689541.30612800831046
10355.85026189329862-0.850261893298624
10465.599896718367690.400103281632308
10555.44392032065317-0.443920320653166
10655.3979150949855-0.397915094985503
10755.04639348621563-0.0463934862156353
10856.3369264801346-1.3369264801346
10976.504298815451120.495701184548877
11065.991516124891590.00848387510841058
11175.854722942816521.14527705718348
11265.761388996194980.238611003805019
11355.18570295367668-0.185702953676680
11455.48849922577969-0.488499225779689
11576.246342349340410.753657650659585
11666.24611115330279-0.246111153302791
11756.04016453173513-1.04016453173513
11875.768792565187111.23120743481289
11945.08519896850439-1.08519896850439
12035.2915076363286-2.29150763632861
12174.769797955295132.23020204470487
12253.931073316495261.06892668350474
12333.96644022797736-0.966440227977356
12444.43549882778855-0.435498827788552
12544.21672451865595-0.216724518655952
12654.21517130232490.784828697675099
12753.591208546193171.40879145380683
12834.03307504768021-1.03307504768021
12943.843884282657760.156115717342243
13063.866399509382382.13360049061762
13144.42246878960317-0.422468789603168
13254.07876966805070.921230331949301
13343.930034734358450.0699652656415498
13443.893328079132080.106671920867919
13553.923434597036481.07656540296352
13643.873941037879400.126058962120595
13734.9443125657336-1.94431256573359
13833.9964655834156-0.996465583415599
13963.846646392514152.15335360748585
14053.907771039739871.09222896026013
14123.62408085016916-1.62408085016916
14244.09267222897402-0.0926722289740168
14334.29830020320511-1.29830020320511
14433.65313253747869-0.65313253747869
14553.75414720241621.24585279758380
14634.0622239259515-1.0622239259515
14734.13896236779108-1.13896236779108
14844.29667033526457-0.296670335264571
14954.319972612019960.680027387980039
15054.212124279319110.78787572068089
15153.654656048981591.34534395101841
15253.860833866586871.13916613341313
15334.38409685397247-1.38409685397247
15444.22027367854310-0.220273678543105
15544.28958118096616-0.289581180966158
15634.21364779082201-1.21364779082201
15744.09795268040631-0.0979526804063115
15844.03031469103043-0.0303146910304285
15933.82536976414301-0.825369764143015
16024.10822915161916-2.10822915161916
16143.672885654346930.327114345653072
16243.653132537478690.346867462521310
16333.91768518648234-0.917685186482342
16434.28822139445838-1.28822139445838


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.2603300016779520.5206600033559040.739669998322048
120.1410801073033720.2821602146067450.858919892696628
130.1144591486408340.2289182972816680.885540851359166
140.07575849629729730.1515169925945950.924241503702703
150.06240386990670420.1248077398134080.937596130093296
160.03942737481808870.07885474963617740.960572625181911
170.02059619558051030.04119239116102060.97940380441949
180.01028642667854580.02057285335709150.989713573321454
190.02528417520902660.05056835041805310.974715824790973
200.0402953907085510.0805907814171020.959704609291449
210.3197525539221540.6395051078443080.680247446077846
220.3157289107225880.6314578214451760.684271089277412
230.3303977606763910.6607955213527820.669602239323609
240.3613825988365520.7227651976731030.638617401163448
250.3311588110576290.6623176221152570.668841188942371
260.4215020176098770.8430040352197530.578497982390123
270.4591473219901050.918294643980210.540852678009895
280.3998534621590070.7997069243180150.600146537840992
290.3514539285927220.7029078571854440.648546071407278
300.3160166913557500.6320333827114990.68398330864425
310.2588554562826440.5177109125652870.741144543717356
320.2184289851968830.4368579703937670.781571014803117
330.1829807478517230.3659614957034460.817019252148277
340.1775610042456540.3551220084913090.822438995754346
350.1756010165613790.3512020331227570.824398983438621
360.1381909932104880.2763819864209760.861809006789512
370.1078520658840960.2157041317681920.892147934115904
380.1031258888265440.2062517776530890.896874111173456
390.07930825559716940.1586165111943390.92069174440283
400.08466370024381570.1693274004876310.915336299756184
410.07760536802345730.1552107360469150.922394631976543
420.1067474501880690.2134949003761390.89325254981193
430.08516347956937390.1703269591387480.914836520430626
440.06523869668503340.1304773933700670.934761303314967
450.1822396595483350.3644793190966690.817760340451665
460.1551819387916380.3103638775832760.844818061208362
470.1452114699774770.2904229399549530.854788530022523
480.2008975841495450.4017951682990890.799102415850455
490.1693013033273250.338602606654650.830698696672675
500.1406221522038040.2812443044076090.859377847796196
510.1149522133862980.2299044267725950.885047786613702
520.09615543318594610.1923108663718920.903844566814054
530.07645896044518580.1529179208903720.923541039554814
540.07220546579820460.1444109315964090.927794534201795
550.06085400556471290.1217080111294260.939145994435287
560.05210280522780670.1042056104556130.947897194772193
570.03993248184310000.07986496368620010.9600675181569
580.03500938643180250.0700187728636050.964990613568197
590.03124662039281990.06249324078563980.96875337960718
600.2225552809244450.445110561848890.777444719075555
610.3716625685534910.7433251371069830.628337431446509
620.3969251652893170.7938503305786350.603074834710683
630.3742148176684280.7484296353368570.625785182331572
640.4218360267319840.8436720534639680.578163973268016
650.4328919814305430.8657839628610860.567108018569457
660.4860048839917340.9720097679834670.513995116008266
670.4414624216644850.882924843328970.558537578335515
680.3963957567878940.7927915135757890.603604243212105
690.3558760625028880.7117521250057770.644123937497112
700.3153229489775570.6306458979551140.684677051022443
710.2854107656155060.5708215312310120.714589234384494
720.2466966748543940.4933933497087880.753303325145606
730.2199190311429570.4398380622859150.780080968857043
740.1866635341611040.3733270683222070.813336465838896
750.1606709094497960.3213418188995920.839329090550204
760.1339087592181110.2678175184362230.866091240781889
770.1335820050828550.2671640101657110.866417994917145
780.1166524302288080.2333048604576160.883347569771192
790.1022526745241350.2045053490482690.897747325475865
800.1981835346138180.3963670692276360.801816465386182
810.2552468265921590.5104936531843180.744753173407841
820.2196779904516120.4393559809032240.780322009548388
830.2064848815744400.4129697631488800.79351511842556
840.2457510095753540.4915020191507070.754248990424646
850.236014892303260.472029784606520.76398510769674
860.2617029768603680.5234059537207350.738297023139632
870.2254897702457640.4509795404915290.774510229754236
880.1932273790008440.3864547580016890.806772620999156
890.1808506893850730.3617013787701460.819149310614927
900.1528387091950330.3056774183900660.847161290804967
910.3737017183427640.7474034366855270.626298281657236
920.3914426694842490.7828853389684970.608557330515751
930.3924240688642690.7848481377285380.607575931135731
940.3576811417886320.7153622835772650.642318858211368
950.38908187196080.77816374392160.6109181280392
960.3934430958534910.7868861917069830.606556904146509
970.3616184148345360.7232368296690720.638381585165464
980.319565266420390.639130532840780.68043473357961
990.3274754418534520.6549508837069050.672524558146548
1000.2886309314660410.5772618629320810.71136906853396
1010.2515308859615860.5030617719231720.748469114038414
1020.2808577744114500.5617155488229010.71914222558855
1030.2589746876296490.5179493752592980.741025312370351
1040.2332231741705160.4664463483410310.766776825829484
1050.2006051968782480.4012103937564970.799394803121752
1060.1705967710737310.3411935421474620.829403228926269
1070.1426754934798790.2853509869597590.85732450652012
1080.1527455990680780.3054911981361560.847254400931922
1090.1334134551561370.2668269103122740.866586544843863
1100.1091033919633230.2182067839266460.890896608036677
1110.1309481775123220.2618963550246430.869051822487678
1120.1242161095890450.2484322191780890.875783890410956
1130.1019677542240080.2039355084480160.898032245775992
1140.08242496063946470.1648499212789290.917575039360535
1150.1020566741357910.2041133482715820.897943325864209
1160.09140266788252370.1828053357650470.908597332117476
1170.08292823537399640.1658564707479930.917071764626004
1180.2336739763604960.4673479527209910.766326023639504
1190.2539477389215430.5078954778430850.746052261078457
1200.3864052978734710.7728105957469420.613594702126529
1210.8393350671796020.3213298656407960.160664932820398
1220.8291519318185550.341696136362890.170848068181445
1230.8259645230243280.3480709539513440.174035476975672
1240.796634919183070.4067301616338620.203365080816931
1250.772176963449610.4556460731007810.227823036550391
1260.7477835184703140.5044329630593710.252216481529686
1270.719434315196830.5611313696063410.280565684803171
1280.6922871266686870.6154257466626270.307712873331313
1290.6620301265843540.6759397468312930.337969873415646
1300.7186603237446960.5626793525106080.281339676255304
1310.6814303062903620.6371393874192760.318569693709638
1320.7417403292013830.5165193415972340.258259670798617
1330.8444207049048540.3111585901902910.155579295095146
1340.8324055790307510.3351888419384980.167594420969249
1350.7886203523643590.4227592952712830.211379647635641
1360.740419224309460.519161551381080.25958077569054
1370.7293198920804550.541360215839090.270680107919545
1380.6824362169838930.6351275660322130.317563783016107
1390.750976246345650.49804750730870.24902375365435
1400.7271400465640730.5457199068718540.272859953435927
1410.718851423922550.56229715215490.28114857607745
1420.6580123608379370.6839752783241250.341987639162063
1430.5956647267886390.8086705464227210.404335273211361
1440.5853372180772750.829325563845450.414662781922725
1450.544988276264670.910023447470660.45501172373533
1460.4798782868827970.9597565737655950.520121713117203
1470.3932020005620750.786404001124150.606797999437925
1480.3215205721779430.6430411443558870.678479427822057
1490.4500063464620520.9000126929241050.549993653537948
1500.5959925767683530.8080148464632940.404007423231647
1510.5446620591630050.9106758816739890.455337940836995
1520.6477800516047620.7044398967904770.352219948395238
1530.504590663741540.990818672516920.49540933625846


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0139860139860140OK
10% type I error level80.0559440559440559OK