Multiple Linear Regression - Estimated Regression Equation
Perf[t] = + 19.7340138067534 + 0.0412068018674213`Sport `[t] -0.00609760335969976t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)19.73401380675340.61629332.020500
`Sport `0.04120680186742130.0441380.93360.3520610.17603
t-0.006097603359699760.006422-0.94950.3439210.171961


Multiple Linear Regression - Regression Statistics
Multiple R0.105641315003316
R-squared0.0111600874356298
Adjusted R-squared-0.00238566479127944
F-TEST (value)0.823880966422807
F-TEST (DF numerator)2
F-TEST (DF denominator)146
p-value0.440754840001858
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36177350359944
Sum Squared Residuals1650.02207906748


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11820.346018231405-2.34601823140502
21519.7218186000340-4.72181860003403
31719.8393414022766-2.8393414022766
42119.79203699704951.20796300295052
52219.82714619555722.1728538044428
62420.19190980900433.80809019099571
71719.8149509888378-2.8149509888378
82519.68523297987585.31476702012417
91620.1736169989252-4.17361699892519
101820.2911398011678-2.29113980116776
112119.66694016979671.33305983020326
121920.0729105851112-1.07291058511125
131820.4788810004258-2.47888100042576
142020.4727833970661-0.472783397066062
152519.72496336009285.27503663990722
162819.76007255860058.2399274413995
171920.2896633795173-1.28966337951728
182019.78908415374850.210915846251477
192519.7005729466545.29942705334602
202019.77688894702910.223111052970877
212119.60596413619971.39403586380026
222119.59986653284001.40013346715996
232320.21187095749172.78812904250834
241919.9585325429274-0.95853254292743
252319.62278052462843.37721947537164
262020.1935781474126-0.193578147412559
271919.7754125253786-0.775412525378647
281719.7281081201515-2.72810812015153
291920.1752853373335-1.17528533733346
302119.71591291343211.28408708656787
311820.0394697250118-2.03946972501180
321819.6213041029779-1.62130410297788
332419.69762010335304.30237989664697
342219.60910889625852.39089110374152
352019.68542489663360.314575103366373
361719.8441545007436-2.84415450074361
372520.74460653846724.25539346153282
382419.74954569028944.25045430971063
391819.7434480869297-1.74344808692967
402119.77855728543741.22144271456261
411319.6488392764754-6.64883927647543
422120.17843009739220.821569902607795
432119.67785087162341.32214912837655
441619.4657192589266-3.46571925892664
451819.5832420611692-1.58324206116921
461919.6183512596769-0.61835125967693
472220.06552847685891.93447152314114
481819.4413288454878-1.44132884548785
491819.7648856570675-1.76488565706752
502019.84120165744270.158798342557342
511919.5878632428784-0.587863242878431
521819.4169384320490-1.41693843204905
532019.65808163989390.341918360106126
542019.85801804587130.141981954128720
552319.81071364064423.18928635935584
561719.3925480186102-2.39254801861025
571719.3864504152505-2.38645041525055
581819.3803528118908-1.38035281189085
592219.37425520853112.62574479146885
601619.3681576051714-3.36815760517145
611819.3620600018117-1.36206000181175
621419.3559623984520-5.35596239845205
631319.6383124081643-6.6383124081643
642119.50859439920231.49140560079767
652519.8321512107825.167848789218
661619.5788127962178-3.57881279621778
671719.8199560040626-2.81995600406260
682219.73144479696812.26855520303194
692419.68414039174094.31585960825906
701819.3071815715744-1.30718157157445
711819.9603927980935-1.96039279809349
721819.3773999685899-1.37739996858989
731919.2888887614954-0.288888761495351
741519.2827911581357-4.28279115813565
752519.31790035664345.68209964335663
762219.68266397009052.31733602990953
771519.8413935742004-4.84139357420045
782119.75288236710591.24711763289409
791619.7467847637462-3.74678476374621
802319.74068716038653.25931283961349
812019.44614194395490.553858056045141
821919.2340103312581-0.234010331258053
832019.39273993536800.607260064631961
841819.3454355301409-1.34543553014092
851819.2157175211790-1.21571752117895
862019.33324032342150.666759676578482
872019.20352231445960.796477685540446
881619.6919063335089-3.69190633350891
891819.6858087301492-1.68580873014921
901819.8033315323918-1.80333153239177
911619.1791319010208-3.17913190102076
922319.50268871260043.49731128739957
931419.4141775055059-5.41417750550588
942119.73773431708561.26226568291445
951319.3607754969191-6.36077549691906
962719.56071190289657.43928809710353
972019.80185511074130.198144889258703
982219.30127588497252.69872411502746
992119.13035107414321.86964892585684
1001919.4539078857228-0.453907885722828
1012219.61263748983282.38736251016719
1021219.3592990752686-7.35929907526859
1032819.27078786817408.72921213182596
1042119.92399909469311.07600090530692
1051819.0937654539850-1.09376545398496
1062119.62335627490171.37664372509826
1071919.0815702472656-0.0815702472655591
1082319.07547264390593.92452735609414
1092119.06937504054621.93062495945384
1102119.06327743718651.93672256281354
1112219.46924785250102.53075214749903
1121819.2983230416716-1.29832304167159
1131519.7042934569861-4.7042934569861
1142319.28612783495223.71387216504781
1152419.03278942038804.96721057961204
1161819.1915190244979-1.19151902449795
1171519.3914554304754-4.39145543047535
1181919.7150122420550-0.715012242055023
1191719.5028806293582-2.50288062935822
1201419.1259218091917-5.12592180919173
1211619.3258582151691-3.32585821516913
1222219.11372660247232.88627339752767
1231518.9840085935104-3.98400859351036
1242319.38997900882493.61002099117512
1252419.09543379239324.90456620760677
1262418.96571578343135.03428421656874
1272019.28927259501090.710727404989066
128918.9535205767119-9.95352057671186
1292319.11225018082183.88774981917815
1301819.4770137942689-1.47701379426894
1312019.42970938904180.57029061095818
1322519.58843899315185.4115610068482
1331719.7471685972618-2.74716859726179
1342119.74107099390211.25892900609791
1352619.48773257933796.51226742066214
1362019.39922137224330.600778627756679
1372119.51674417448591.48325582551411
1381519.2634057599217-4.26340575992166
1392019.05127414722490.948725852775148
1402019.21000375133480.789996248665163
1411618.8742517330358-2.87425173303577
1421919.4038425539525-0.403842553952544
1432218.86205652631643.13794347368363
1441719.7213017621725-2.72130176217252
1452518.84986131959706.15013868040303
1461918.88497051810470.115029481895310
1471719.4969749427563-2.49697494275631
1482119.32605013192691.67394986807308
1491218.907884509893-6.90788450989301


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.08130666782912390.1626133356582480.918693332170876
70.462892160762270.925784321524540.53710783923773
80.4413971054081720.8827942108163450.558602894591828
90.7865017588061310.4269964823877370.213498241193869
100.7321926625167960.5356146749664070.267807337483203
110.6388645515622630.7222708968754750.361135448437737
120.5536736871421990.8926526257156020.446326312857801
130.4668925415038440.9337850830076880.533107458496156
140.3813822424089450.762764484817890.618617757591055
150.3672218436154640.7344436872309280.632778156384536
160.4557635211592950.911527042318590.544236478840705
170.4264990057186310.8529980114372620.573500994281369
180.4482773281509790.8965546563019580.551722671849021
190.3977527890908030.7955055781816050.602247210909197
200.4110731759300910.8221463518601820.588926824069909
210.3922787476786330.7845574953572660.607721252321367
220.3609116848638580.7218233697277160.639088315136142
230.3154198955187140.6308397910374270.684580104481286
240.3102643469691220.6205286939382440.689735653030878
250.2635449383032340.5270898766064680.736455061696766
260.2188034180372170.4376068360744340.781196581962783
270.2214153830464120.4428307660928250.778584616953588
280.2838310793118640.5676621586237270.716168920688136
290.2396530874670330.4793061749340650.760346912532967
300.1966967189462810.3933934378925610.80330328105372
310.1773120569907720.3546241139815450.822687943009228
320.1759475055548790.3518950111097580.824052494445121
330.1779282448480570.3558564896961140.822071755151943
340.1473782070437460.2947564140874920.852621792956254
350.1205910839207080.2411821678414170.879408916079292
360.1250190982940200.2500381965880390.87498090170598
370.2035099407337500.4070198814674990.79649005926625
380.2035710295069170.4071420590138340.796428970493083
390.1989030093185340.3978060186370680.801096990681466
400.1651508214974530.3303016429949060.834849178502547
410.3469643148166600.6939286296333190.65303568518334
420.3020591359773520.6041182719547050.697940864022648
430.2614173464682030.5228346929364070.738582653531797
440.2840013474720950.568002694944190.715998652527905
450.253336263169530.506672526339060.74666373683047
460.2150037568434340.4300075136868670.784996243156566
470.1938798048294770.3877596096589540.806120195170523
480.1679140699599440.3358281399198880.832085930040056
490.1443595790259850.2887191580519700.855640420974015
500.1174222020887490.2348444041774990.88257779791125
510.0944802040240320.1889604080480640.905519795975968
520.07754826168422520.1550965233684500.922451738315775
530.06122977202242120.1224595440448420.938770227977579
540.04758734138260820.09517468276521650.952412658617392
550.04939892022527360.09879784045054720.950601079774726
560.04315156004208550.0863031200841710.956848439957914
570.03690360063529650.0738072012705930.963096399364703
580.02865504210197230.05731008420394450.971344957898028
590.02735871446329390.05471742892658790.972641285536706
600.02624646312768830.05249292625537660.973753536872312
610.02002436382077130.04004872764154260.979975636179229
620.02814290245624530.05628580491249060.971857097543755
630.05143929326610930.1028785865322190.94856070673389
640.04523544235069160.09047088470138320.954764557649308
650.07509761651108570.1501952330221710.924902383488914
660.07206526236290470.1441305247258090.927934737637095
670.06325420383224980.1265084076645000.93674579616775
680.05986604027163280.1197320805432660.940133959728367
690.07755455044117730.1551091008823550.922445449558823
700.06254003491652190.1250800698330440.937459965083478
710.05150732032037030.1030146406407410.94849267967963
720.04086574020062250.0817314804012450.959134259799377
730.0316397939790560.0632795879581120.968360206020944
740.03440738862150280.06881477724300560.965592611378497
750.06259566414728310.1251913282945660.937404335852717
760.05780820948427420.1156164189685480.942191790515726
770.06817606375800350.1363521275160070.931823936241996
780.05728510836674740.1145702167334950.942714891633253
790.05686882368005730.1137376473601150.943131176319943
800.05955693753248910.1191138750649780.94044306246751
810.04770662462814270.09541324925628530.952293375371857
820.03713076656407840.07426153312815690.962869233435922
830.02912484565950140.05824969131900280.970875154340499
840.02267717043028660.04535434086057330.977322829569713
850.01743867749465840.03487735498931680.982561322505342
860.01327756892422440.02655513784844870.986722431075776
870.01005661165162880.02011322330325760.989943388348371
880.01003346540629110.02006693081258220.989966534593709
890.007705037617847190.01541007523569440.992294962382153
900.005950943915135590.01190188783027120.994049056084864
910.0056606240500250.011321248100050.994339375949975
920.006044939383345720.01208987876669140.993955060616654
930.009957796369274580.01991559273854920.990042203630725
940.007678266506551120.01535653301310220.992321733493449
950.01810635123592370.03621270247184740.981893648764076
960.04915009185371310.09830018370742620.950849908146287
970.03816165058991970.07632330117983930.96183834941008
980.03411885574227270.06823771148454530.965881144257727
990.02792409561917110.05584819123834220.972075904380829
1000.02124583435247310.04249166870494630.978754165647527
1010.01795485027243700.03590970054487390.982045149727563
1020.0539502489026920.1079004978053840.946049751097308
1030.1588151984455430.3176303968910860.841184801554457
1040.1322827278428710.2645654556857430.867717272157129
1050.1116323553497830.2232647106995670.888367644650217
1060.09175435072277240.1835087014455450.908245649277228
1070.07305882253234810.1461176450646960.926941177467652
1080.07396731981934510.1479346396386900.926032680180655
1090.06095034999997450.1219006999999490.939049650000025
1100.050052394155280.100104788310560.94994760584472
1110.04445455535532840.08890911071065680.955545444644672
1120.03428325732967090.06856651465934180.96571674267033
1130.04168585043756660.08337170087513310.958314149562433
1140.04230743722378390.08461487444756780.957692562776216
1150.0591889074056160.1183778148112320.940811092594384
1160.04509254710989580.09018509421979160.954907452890104
1170.04959591948175820.09919183896351650.950404080518242
1180.03717138121808820.07434276243617650.962828618781912
1190.03220617313328670.06441234626657350.967793826866713
1200.04828432798716720.09656865597433440.951715672012833
1210.05497486530319050.1099497306063810.94502513469681
1220.04453371258273820.08906742516547630.955466287417262
1230.06187041160336770.1237408232067350.938129588396632
1240.05190995643899430.1038199128779890.948090043561006
1250.0544517366125610.1089034732251220.945548263387439
1260.06818197385210.13636394770420.9318180261479
1270.04963624581257910.09927249162515830.95036375418742
1280.4319210336023990.8638420672047970.568078966397601
1290.3797851122812080.7595702245624160.620214887718792
1300.377178783796370.754357567592740.62282121620363
1310.3281559493543230.6563118987086470.671844050645677
1320.3454071481565830.6908142963131650.654592851843417
1330.3617827847165620.7235655694331230.638217215283438
1340.2879927341923610.5759854683847220.712007265807639
1350.4104563960753440.8209127921506870.589543603924656
1360.3255568266456120.6511136532912250.674443173354388
1370.2749342580837970.5498685161675940.725065741916203
1380.3192429787272590.6384859574545180.680757021272741
1390.2324386644469210.4648773288938420.767561335553079
1400.1562463393295390.3124926786590770.843753660670461
1410.2638240199854690.5276480399709390.73617598001453
1420.2071743973510030.4143487947020050.792825602648997
1430.1315639684695490.2631279369390980.868436031530451


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level150.108695652173913NOK
10% type I error level450.326086956521739NOK