Multiple Linear Regression - Estimated Regression Equation
Competence[t] = + 4.59399534068267 -0.0960101540567729Focus[t] -0.0680960967195073Neatness[t] -0.0295001752219747Upset[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.593995340682670.38759111.852700
Focus-0.09601015405677290.078476-1.22340.2239070.111954
Neatness-0.06809609671950730.081349-0.83710.4044480.202224
Upset-0.02950017522197470.054097-0.54530.586690.293345


Multiple Linear Regression - Regression Statistics
Multiple R0.173299448047482
R-squared0.030032698693562
Adjusted R-squared0.00231934722766380
F-TEST (value)1.08369060777502
F-TEST (DF numerator)3
F-TEST (DF denominator)105
p-value0.359376524702930
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.585286899054971
Sum Squared Residuals35.9688791915653


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
133.81956963668958-0.819569636689579
243.945079965968390.0549200340316064
343.878569987133590.121430012866407
443.878569987133590.121430012866407
543.878569987133590.121430012866407
633.81047389041409-0.810473890414085
753.849069811911621.15093018808838
843.94666608385310.0533339161468998
934.10009047046911-1.10009047046911
1033.87856998713359-0.878569987133593
1143.974580141190370.025419858809634
1244.01158994480319-0.0115899448031898
1344.07059029524714-0.0705902952471392
1444.11077233462938-0.110772334629381
1543.94666608385310.0533339161468998
1643.812060008298790.187939991701206
1743.94666608385310.0533339161468998
1854.206782488686150.793217511313846
1943.849069811911620.150930188088382
2043.983675887465920.016324112534076
2143.887665733409150.112334266590849
2244.01158994480319-0.0115899448031898
2354.07968604152270.920313958477303
2443.887665733409150.112334266590849
2543.878569987133590.121430012866407
2643.878569987133590.121430012866407
2743.819569636689640.180430363310357
2843.974580141190370.025419858809634
2943.849069811911620.150930188088382
3043.782559833076820.217440166923180
3143.751473539970140.248526460029864
3233.84906981191162-0.849069811911618
3343.819569636689640.180430363310357
3443.878569987133590.121430012866407
3533.9466660838531-0.9466660838531
3633.81956963668964-0.819569636689643
3723.85816555818718-1.85816555818718
3833.87856998713359-0.878569987133593
3943.819569636689640.180430363310357
4043.791655579352380.208344420647622
4143.721973364748160.278026635251839
4243.849069811911620.150930188088382
4354.138686391966650.861313608033353
4443.917165908631130.0828340913688745
4543.94666608385310.0533339161468998
4643.908070162355570.0919298376444325
4733.87856998713359-0.878569987133593
4843.819569636689640.180430363310357
4943.819569636689640.180430363310357
5033.81956963668964-0.819569636689643
5143.915579790746420.0844202092535834
5233.87856998713359-0.878569987133593
5333.81047389041409-0.810473890414085
5453.976166259075071.02383374092493
5523.98367588746592-1.98367588746592
5643.906484044470860.0935159555291413
5743.751473539970140.248526460029864
5843.878569987133590.121430012866407
5933.78255983307682-0.78255983307682
6044.07217641313185-0.072176413131848
6133.87856998713359-0.878569987133593
6243.878569987133590.121430012866407
6343.810473890414090.189526109585915
6443.878569987133590.121430012866407
6543.908070162355570.0919298376444325
6643.721973364748160.278026635251839
6753.849069811911621.15093018808838
6853.94666608385311.0533339161469
6933.90807016235557-0.908070162355567
7043.878569987133590.121430012866407
7133.81956963668964-0.819569636689643
7243.878569987133590.121430012866407
7353.790069461467671.20993053853233
7453.915579790746421.08442020925358
7543.849069811911620.150930188088382
7643.94666608385310.0533339161468998
7743.974580141190370.025419858809634
7843.94666608385310.0533339161468998
7943.810473890414090.189526109585915
8043.819569636689640.180430363310357
8143.810473890414090.189526109585915
8253.810473890414091.18952610958591
8344.01158994480319-0.0115899448031898
8443.819569636689640.180430363310357
8543.974580141190370.025419858809634
8643.974580141190370.025419858809634
8743.849069811911620.150930188088382
8843.810473890414090.189526109585915
8943.819569636689640.180430363310357
9044.04267623790987-0.0426762379098734
9134.01158994480319-1.01158994480319
9243.88015610501830.119843894981698
9344.07059029524714-0.0705902952471392
9443.849069811911620.150930188088382
9543.878569987133590.121430012866407
9643.819569636689640.180430363310357
9743.974580141190370.025419858809634
9843.917165908631130.0828340913688745
9944.04267623790987-0.0426762379098734
10043.94666608385310.0533339161468998
10143.94666608385310.0533339161468998
10254.042676237909870.957323762090127
10354.206782488686150.793217511313846
10443.94666608385310.0533339161468998
10543.876983869248880.123016130751116
10634.20678248868615-1.20678248868615
10744.11077233462938-0.110772334629381
10843.887665733409150.112334266590849
10943.917165908631130.0828340913688745


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8188479447123560.3623041105752880.181152055287644
80.833250981441240.3334980371175210.166749018558760
90.8245425332487070.3509149335025860.175457466751293
100.8628610978710870.2742778042578270.137138902128913
110.8228828905964030.3542342188071940.177117109403597
120.7566135258701790.4867729482596420.243386474129821
130.6984407223021750.603118555395650.301559277697825
140.6447734959451320.7104530081097360.355226504054868
150.5543333041458110.8913333917083780.445666695854189
160.4875957779407360.9751915558814710.512404222059264
170.4005735734393390.8011471468786770.599426426560661
180.428936235736340.857872471472680.57106376426366
190.3547790816404890.7095581632809780.64522091835951
200.2957055819416010.5914111638832020.704294418058399
210.2385411846318940.4770823692637890.761458815368105
220.1849813554440630.3699627108881260.815018644555937
230.2284674863189360.4569349726378710.771532513681064
240.1851156383167430.3702312766334860.814884361683257
250.1481976507097300.2963953014194590.85180234929027
260.1161061242496360.2322122484992720.883893875750364
270.0862511585899910.1725023171799820.91374884141001
280.0634976668180470.1269953336360940.936502333181953
290.04583633291904850.0916726658380970.954163667080951
300.03412801212273280.06825602424546560.965871987877267
310.02682668037636130.05365336075272260.973173319623639
320.0489789572880470.0979579145760940.951021042711953
330.03492151773337390.06984303546674780.965078482266626
340.0252394300780.0504788601560.974760569922
350.05993722272407940.1198744454481590.94006277727592
360.09167786073720340.1833557214744070.908322139262797
370.5542453745024660.8915092509950670.445754625497533
380.6092534866042230.7814930267915540.390746513395777
390.5652324206257270.8695351587485460.434767579374273
400.5189761891503810.962047621699240.48102381084962
410.4850774914769270.9701549829538530.514922508523073
420.4337859264282230.8675718528564470.566214073571777
430.4935902366546290.9871804733092580.506409763345371
440.4369980420716880.8739960841433760.563001957928312
450.3811706630134970.7623413260269950.618829336986503
460.3303974222502010.6607948445004030.669602577749799
470.3884454795988080.7768909591976160.611554520401192
480.3422840968806380.6845681937612770.657715903119362
490.297829597532290.595659195064580.70217040246771
500.3446389811791950.689277962358390.655361018820805
510.2949795203087070.5899590406174140.705020479691293
520.3534032745708520.7068065491417040.646596725429148
530.3965158343202150.793031668640430.603484165679785
540.5091778791087040.9816442417825930.490822120891296
550.948018197187060.1039636056258780.0519818028129391
560.9324025952181740.1351948095636520.0675974047818258
570.9185360326046650.1629279347906690.0814639673953347
580.8961269428025470.2077461143949050.103873057197453
590.9289291884038550.1421416231922910.0710708115961453
600.9077159155357590.1845681689284820.0922840844642409
610.9452434364395030.1095131271209940.0547565635604969
620.9286967907595490.1426064184809020.0713032092404511
630.9101180269267170.1797639461465670.0898819730732833
640.88588477382530.2282304523494010.114115226174700
650.8560394695886320.2879210608227350.143960530411368
660.8315263420977620.3369473158044760.168473657902238
670.9046932189145490.1906135621709020.095306781085451
680.9486939070459880.1026121859080240.0513060929540122
690.9758266206186690.04834675876266220.0241733793813311
700.9662649102423380.06747017951532480.0337350897576624
710.9878579346198930.02428413076021460.0121420653801073
720.9823295996329340.03534080073413310.0176704003670665
730.9942792287370360.01144154252592760.00572077126296379
740.99909373975480.001812520490401680.00090626024520084
750.998442113300550.003115773398902250.00155788669945112
760.9974016917244020.005196616551195860.00259830827559793
770.9956890118145360.008621976370928170.00431098818546409
780.9931150561760630.01376988764787390.00688494382393694
790.9897457074416080.02050858511678410.0102542925583921
800.9841790162491160.03164196750176780.0158209837508839
810.977502291347750.04499541730450200.0224977086522510
820.9919981716556020.01600365668879660.00800182834439832
830.988263726519960.02347254696008070.0117362734800404
840.981776368128940.03644726374212230.0182236318710612
850.9712376198871010.05752476022579760.0287623801128988
860.9557927834126470.08841443317470580.0442072165873529
870.9342764000058660.1314471999882680.065723599994134
880.9050477571833660.1899044856332680.0949522428166338
890.8702271739578550.259545652084290.129772826042145
900.8210318322372420.3579363355255160.178968167762758
910.8934581260667920.2130837478664160.106541873933208
920.8472463512258990.3055072975482020.152753648774101
930.7892557456225830.4214885087548340.210744254377417
940.714916099878260.5701678002434810.285083900121741
950.629101487118710.741797025762580.37089851288129
960.531141487770960.937717024458080.46885851222904
970.4335356745169380.8670713490338770.566464325483062
980.3291149990843810.6582299981687610.67088500091562
990.236672796897510.473345593795020.76332720310249
1000.1559642783715760.3119285567431510.844035721628424
1010.09456479470337980.1891295894067600.90543520529662
1020.1293030246588110.2586060493176210.87069697534119


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0416666666666667NOK
5% type I error level150.15625NOK
10% type I error level240.25NOK