Multiple Linear Regression - Estimated Regression Equation
Perf[t] = + 19.2989199323664 + 0.0380163102865228`Sport `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)19.29891993236640.4119946.843100
`Sport `0.03801631028652280.0439960.86410.3889440.194472


Multiple Linear Regression - Regression Statistics
Multiple R0.0710889771773798
R-squared0.00505364267612603
Adjusted R-squared-0.00171469989070294
F-TEST (value)0.746658820269144
F-TEST (DF numerator)1
F-TEST (DF denominator)147
p-value0.388943910291832
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36064818342967
Sum Squared Residuals1660.21156328


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11819.8691645866642-1.86916458666418
21519.2989199323664-4.29891993236637
31719.4129688632259-2.41296886322594
42119.37495255293941.62504744706058
52219.41296886322592.58703113677406
62419.75511565580464.24488434419535
71719.4129688632259-2.41296886322594
82519.29891993236645.70108006763363
91619.7551156558046-3.75511565580464
101819.8691645866642-1.86916458666421
112119.29891993236641.70108006763363
121919.6790830352316-0.6790830352316
131820.0592461380968-2.05924613809683
142020.0592461380968-0.0592461380968274
152519.37495255293945.62504744706058
162819.41296886322598.58703113677406
171919.9071808969507-0.907180896950736
182019.45098517351250.549014826487537
192519.37495255293945.62504744706058
202019.45098517351250.549014826487537
212119.29891993236641.70108006763363
222119.29891993236641.70108006763363
232319.86916458666423.13083541333579
241919.6410667249451-0.641066724945077
252319.33693624265293.66306375734711
262019.86916458666420.130835413335786
271919.489001483799-0.489001483798986
281719.4509851735125-2.45098517351246
291919.8691645866642-0.869164586664213
302119.45098517351251.54901482648754
311819.7551156558046-1.75511565580465
321819.3749525529394-1.37495255293942
332419.45098517351254.54901482648754
342219.37495255293942.62504744706058
352019.45098517351250.549014826487537
361719.6030504146586-2.60305041465855
372520.43940924096214.56059075903794
382419.52701779408554.47298220591449
391819.5270177940855-1.52701779408551
402119.5650341043721.43496589562797
411319.4509851735125-6.45098517351246
422119.94519720723731.05480279276274
432119.4890014837991.51099851620101
441619.2989199323664-3.29891993236637
451819.4129688632259-1.41296886322594
461919.4509851735125-0.450985173512463
472219.86916458666422.13083541333579
481819.2989199323664-1.29891993236637
491819.6030504146586-1.60305041465855
502019.67908303523160.3209169647684
511919.4509851735125-0.450985173512463
521819.2989199323664-1.29891993236637
532019.52701779408550.472982205914491
542019.71709934551810.282900654481878
552319.67908303523163.3209169647684
561719.2989199323664-2.29891993236637
571719.2989199323664-2.29891993236637
581819.2989199323664-1.29891993236637
592219.29891993236642.70108006763363
601619.2989199323664-3.29891993236637
611819.2989199323664-1.29891993236637
621419.2989199323664-5.29891993236637
631319.565034104372-6.56503410437203
642119.45098517351251.54901482648754
652519.75511565580465.24488434419535
661619.5270177940855-3.52701779408551
671719.7551156558046-2.75511565580464
682219.67908303523162.3209169647684
692419.64106672494514.35893327505492
701819.2989199323664-1.29891993236637
711819.9071808969507-1.90718089695074
721819.3749525529394-1.37495255293942
731919.2989199323664-0.298919932366372
741519.2989199323664-4.29891993236637
752519.33693624265295.6630637573471
762219.67908303523162.3209169647684
771519.8311482763777-4.83114827637769
782119.75511565580461.24488434419535
791619.7551156558046-3.75511565580464
802319.75511565580463.24488434419536
812019.4890014837990.510998516201014
821919.2989199323664-0.298919932366372
832019.45098517351250.549014826487537
841819.4129688632259-1.41296886322594
851819.2989199323664-1.29891993236637
862019.41296886322590.58703113677406
872019.29891993236640.701080067633628
881619.7551156558046-3.75511565580464
891819.7551156558046-1.75511565580465
901819.8691645866642-1.86916458666421
911619.2989199323664-3.29891993236637
922319.60305041465863.39694958534145
931419.5270177940855-5.52701779408551
942119.83114827637771.16885172362231
951319.489001483799-6.48900148379899
962719.67908303523167.3209169647684
972019.90718089695070.0928191030492637
982219.45098517351252.54901482648754
992119.29891993236641.70108006763363
1001919.6030504146586-0.603050414658554
1012219.75511565580462.24488434419536
1021219.5270177940855-7.52701779408551
1032819.45098517351258.54901482648754
1042120.05924613809680.940753861903173
1051819.2989199323664-1.29891993236637
1062119.79313196609121.20686803390883
1071919.2989199323664-0.298919932366372
1082319.29891993236643.70108006763363
1092119.29891993236641.70108006763363
1102119.29891993236641.70108006763363
1112219.67908303523162.3209169647684
1121819.5270177940855-1.52701779408551
1131519.9071808969507-4.90718089695074
1142319.52701779408553.47298220591449
1152419.29891993236644.70108006763363
1161819.4509851735125-1.45098517351246
1171519.6410667249451-4.64106672494508
1181919.9451972072373-0.94519720723726
1191719.7551156558046-2.75511565580464
1201419.4129688632259-5.41296886322594
1211619.6030504146586-3.60305041465855
1222219.41296886322592.58703113677406
1231519.2989199323664-4.29891993236637
1242319.67908303523163.3209169647684
1252419.41296886322594.58703113677406
1262419.29891993236644.70108006763363
1272019.60305041465860.396949585341446
128919.2989199323664-10.2989199323664
1292319.45098517351253.54901482648754
1301819.7931319660912-1.79313196609117
1312019.75511565580460.244884344195355
1322519.90718089695075.09281910304926
1331720.0592461380968-3.05924613809683
1342120.05924613809680.940753861903173
1352619.83114827637776.16885172362231
1362019.75511565580460.244884344195355
1372119.86916458666421.13083541333579
1381519.6410667249451-4.64106672494508
1392019.45098517351250.549014826487537
1402019.60305041465860.396949585341446
1411619.2989199323664-3.29891993236637
1421919.7931319660912-0.793131966091168
1432219.29891993236642.70108006763363
1441720.0972624483834-3.09726244838335
1452519.29891993236645.70108006763363
1461919.3369362426529-0.336936242652895
1471719.9071808969507-2.90718089695074
1482119.75511565580461.24488434419535
1491219.3749525529394-7.37495255293942


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.5902601852065260.8194796295869490.409739814793474
60.651848060967590.696303878064820.34815193903241
70.5503276000180940.8993447999638130.449672399981906
80.7659961477975290.4680077044049430.234003852202471
90.7647179937806740.4705640124386510.235282006219326
100.6820910644753960.6358178710492080.317908935524604
110.5976173725632070.8047652548735850.402382627436792
120.501305252795260.997389494409480.49869474720474
130.4105968955644580.8211937911289160.589403104435542
140.343616904145180.687233808290360.65638309585482
150.4529665645339740.9059331290679490.547033435466026
160.7460542869544190.5078914260911630.253945713045581
170.680614271641830.638771456716340.31938572835817
180.6130281368055870.7739437263888260.386971863194413
190.6449011014982390.7101977970035230.355098898501761
200.5809330604607890.8381338790784210.419066939539211
210.5156986597656440.9686026804687110.484301340234356
220.4510386861978940.9020773723957880.548961313802106
230.462520334052570.925040668105140.53747966594743
240.4048914470544570.8097828941089130.595108552945543
250.368969929794970.7379398595899410.63103007020503
260.3102145118279510.6204290236559020.689785488172049
270.270185834183610.540371668367220.72981416581639
280.2849737533344370.5699475066688750.715026246665563
290.235411343528490.470822687056980.76458865647151
300.1927138427833970.3854276855667950.807286157216603
310.1643666942209540.3287333884419070.835633305779046
320.1543490088931380.3086980177862750.845650991106862
330.1658108822566990.3316217645133980.834189117743301
340.1394240892517650.278848178503530.860575910748235
350.1111199715731020.2222399431462040.888880028426898
360.1096653062027120.2193306124054230.890334693797288
370.200154281880870.400308563761740.79984571811913
380.2151272246701290.4302544493402590.78487277532987
390.1957508629667990.3915017259335980.804249137033201
400.1626652337641470.3253304675282940.837334766235853
410.3225842739498210.6451685478996410.677415726050179
420.2799480484402550.559896096880510.720051951559745
430.2411652392174530.4823304784349060.758834760782547
440.2627706798954940.5255413597909890.737229320104506
450.2359792016843640.4719584033687280.764020798315636
460.2009095077449010.4018190154898010.7990904922551
470.1780566338487660.3561132676975320.821943366151234
480.1559961647198290.3119923294396590.84400383528017
490.1368402657675890.2736805315351790.86315973423241
500.1108538919791010.2217077839582010.8891461080209
510.09005946177046550.1801189235409310.909940538229534
520.0760673173370690.1521346346741380.923932682662931
530.05971932118104320.1194386423620860.940280678818957
540.04622181692430020.09244363384860050.9537781830757
550.04516265508156490.09032531016312980.954837344918435
560.04132416057713790.08264832115427580.958675839422862
570.03735908958531850.07471817917063710.962640910414681
580.03010874736237430.06021749472474860.969891252637626
590.02693407486564440.05386814973128880.973065925134356
600.02813653715549070.05627307431098140.97186346284451
610.02234457908235180.04468915816470370.977655420917648
620.03605746739928160.07211493479856320.963942532600718
630.07720789873405430.1544157974681090.922792101265946
640.06427085446645250.1285417089329050.935729145533547
650.08767022346127970.1753404469225590.91232977653872
660.09105330538470740.1821066107694150.908946694615293
670.08627861016543470.1725572203308690.913721389834565
680.07641125394074810.1528225078814960.923588746059252
690.08800517215534570.1760103443106910.911994827844654
700.07290835435421210.1458167087084240.927091645645788
710.06351192000985910.1270238400197180.936488079990141
720.05214443810952240.1042888762190450.947855561890478
730.04073176959524680.08146353919049360.959268230404753
740.0478835539489430.0957671078978860.952116446051057
750.07414273670543750.1482854734108750.925857263294563
760.06552716065696920.1310543213139380.934472839343031
770.08434873434413130.1686974686882630.915651265655869
780.06957542774518490.139150855490370.930424572254815
790.07374967509643040.1474993501928610.92625032490357
800.07231954947881160.1446390989576230.927680450521188
810.05771310864765180.1154262172953040.942286891352348
820.04535384903362290.09070769806724570.954646150966377
830.03538845674454230.07077691348908470.964611543255458
840.02841027256339420.05682054512678830.971589727436606
850.0224396358237330.04487927164746610.977560364176267
860.01696369915870620.03392739831741240.983036300841294
870.01272246854916310.02544493709832610.987277531450837
880.0136532324649120.0273064649298240.986346767535088
890.01088861912918130.02177723825836250.989111380870819
900.00871406815491970.01742813630983940.99128593184508
910.008559082547938390.01711816509587680.991440917452062
920.008503712523961180.01700742504792240.991496287476039
930.01416037103904440.02832074207808870.985839628960956
940.0107571411924160.0215142823848320.989242858807584
950.0236798880440480.0473597760880960.976320111955952
960.05939017763702620.1187803552740520.940609822362974
970.04641440426583010.09282880853166030.95358559573417
980.04096818777289450.0819363755457890.959031812227106
990.0332209793786730.0664419587573460.966779020621327
1000.02529576294761830.05059152589523650.974704237052382
1010.02149693417017950.0429938683403590.97850306582982
1020.05917034360348450.1183406872069690.940829656396516
1030.1748878109427220.3497756218854430.825112189057278
1040.148096894643050.29619378928610.85190310535695
1050.1248336759887090.2496673519774170.875166324011291
1060.1041959210478110.2083918420956230.895804078952189
1070.08309683052163420.1661936610432680.916903169478366
1080.0843483453206360.1686966906412720.915651654679364
1090.06988108966578020.139762179331560.93011891033422
1100.05757784056498380.1151556811299680.942422159435016
1110.05062517249677830.1012503449935570.949374827503222
1120.03988482441635860.07976964883271730.960115175583641
1130.04920279412810990.09840558825621980.95079720587189
1140.04993159814408940.09986319628817880.95006840185591
1150.06612229672297970.1322445934459590.93387770327702
1160.05153250772558180.1030650154511640.948467492274418
1170.05955982260535040.1191196452107010.94044017739465
1180.045433133739550.09086626747910.95456686626045
1190.03955093491037460.07910186982074930.960449065089625
1200.05474719641937160.1094943928387430.945252803580628
1210.05454044408490710.1090808881698140.945459555915093
1220.04743451088004230.09486902176008460.952565489119958
1230.05297949757121170.1059589951424230.947020502428788
1240.04984345858111950.0996869171622390.95015654141888
1250.0612316512116120.1224633024232240.938768348788388
1260.08481896550054780.1696379310010960.915181034499452
1270.06337593285680550.1267518657136110.936624067143195
1280.3478060918414390.6956121836828780.652193908158561
1290.3490049172608780.6980098345217550.650995082739122
1300.2996407861359520.5992815722719050.700359213864048
1310.2395610110967790.4791220221935580.760438988903221
1320.3219571192441750.643914238488350.678042880755825
1330.2917090316722180.5834180633444360.708290968327782
1340.2348765789056880.4697531578113760.765123421094312
1350.4520179475301710.9040358950603420.547982052469829
1360.3787653022923350.757530604584670.621234697707665
1370.3470660345498730.6941320690997450.652933965450127
1380.3553539241614030.7107078483228060.644646075838597
1390.27167898707470.5433579741494010.7283210129253
1400.2006561928831160.4013123857662330.799343807116884
1410.1948597497989020.3897194995978050.805140250201098
1420.125055278643590.2501105572871810.87494472135641
1430.08584830444460170.1716966088892030.914151695555398
1440.04364224867700120.08728449735400230.956357751322999


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level130.0928571428571429NOK
10% type I error level380.271428571428571NOK