Multiple Linear Regression - Estimated Regression Equation
KansOverwinning[t] = + 3.27412322335457 -0.0365847634432943GeboekteOverwinning[t] + 0.1417360817956Gevoel[t] + 0.406011472206854EigenGevoel[t] + 0.519932408798465Beste[t] -0.0971170265764618`2deBeste`[t] + 0.0512747686924238`3debeste`[t] -0.00292551178459613t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.274123223354572.2656351.44510.1522340.076117
GeboekteOverwinning-0.03658476344329430.125769-0.29090.771870.385935
Gevoel0.14173608179560.0935681.51480.1336690.066834
EigenGevoel0.4060114722068540.1454032.79230.006510.003255
Beste0.5199324087984650.2484542.09270.0394710.019735
`2deBeste`-0.09711702657646180.055824-1.73970.0856620.042831
`3debeste`0.05127476869242380.0736590.69610.4883260.244163
t-0.002925511784596130.009271-0.31560.7531450.376573


Multiple Linear Regression - Regression Statistics
Multiple R0.641706523426841
R-squared0.411787262208563
Adjusted R-squared0.361573979714172
F-TEST (value)8.20076365759521
F-TEST (DF numerator)7
F-TEST (DF denominator)82
p-value1.5149123733238e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.26284766532345
Sum Squared Residuals419.879323629701


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11311.43447826549391.56552173450609
21211.61174358609190.388256413908108
31514.58046593487090.419534065129146
41211.60701221349730.392987786502711
5109.685397887346870.314602112653129
6129.378452239202932.62154776079707
71516.478508558673-1.47850855867301
8910.7899929449438-1.78999294494379
91212.1902337841296-0.190233784129594
10119.197028579721661.80297142027834
111113.5750115435071-2.57501154350706
121112.5100857565302-1.51008575653019
131511.98385568773983.01614431226024
14711.0419188265824-4.04191882658238
151111.8328964751244-0.832896475124381
161110.75870993452880.241290065471165
171011.9236210597652-1.92362105976521
181415.0953285785478-1.09532857854785
19109.466704575852840.533295424147158
20610.1578883026548-4.15788830265483
21119.187443631711761.81255636828824
221514.54306369928120.456936300718764
231110.49239002962750.507609970372465
241210.47302401974561.52697598025438
251412.9081500011451.09184999885504
261514.25451429067090.745485709329117
27913.2134168235069-4.21341682350693
281313.1381138604073-0.138113860407333
291312.39642439555960.603575604440443
301611.56430011480054.43569988519953
31139.21477282908653.7852271709135
321213.4819965570027-1.48199655700274
331413.83488886724780.165111132752197
341110.9557323116150.0442676883850103
35911.0077877172975-2.00778771729747
361613.39159304990152.60840695009853
371213.2273277278192-1.22732772781925
38109.625560215237210.374439784762785
391312.32773115361840.672268846381576
401614.51093395853811.4890660414619
411413.23900913119330.760990868806653
42159.030597807102725.96940219289728
4359.83904999621332-4.83904999621332
44811.3903003132839-3.39030031328388
451110.62487226654890.375127733451107
461613.7821445779882.21785542201202
471713.30331247031033.69668752968974
4898.55568386348020.444316136519805
49910.6668604820787-1.66686048207868
501313.5662382876034-0.566238287603411
511010.4031458639492-0.403145863949191
52612.3319916036467-6.33199160364673
531212.6405973592364-0.640597359236439
54811.4415672298019-3.44156722980189
551411.88327828519772.11672171480234
561212.1006908929036-0.100690892903634
571110.96695137421750.0330486257825075
581613.90896232711862.09103767288136
59810.2861781046951-2.28617810469506
601515.0826977204439-0.0826977204438767
6179.93655482149613-2.93655482149613
621613.75785176865672.24214823134325
631413.23235702632980.76764297367022
641613.20957558787772.79042441212227
65910.4646714026967-1.4646714026967
661411.84727267193472.15272732806526
671112.9269919571766-1.92699195717657
681311.5887590161.41124098399997
691512.44468055033912.55531944966089
7056.25615700634952-1.25615700634952
711512.38856904293972.61143095706027
721312.52040380887920.479596191120832
731112.5631878101519-1.5631878101519
741114.0835827158939-3.08358271589387
751212.4207007150317-0.420700715031715
761212.5297376107104-0.529737610710368
771210.94239475060761.05760524939237
781212.4440907171751-0.444090717175073
791411.2212834733942.77871652660605
8068.4369102527637-2.4369102527637
81710.0270296233869-3.02702962338688
821412.82457820828461.17542179171542
831414.1710902523429-0.171090252342856
841011.1674343292838-1.16743432928377
85139.109373466473983.89062653352602
861211.53012847444260.469871525557389
8799.13569814246753-0.135698142467526
881212.6994850854823-0.6994850854823
891615.07208589328150.927914106718544
901010.9547338725112-0.954733872511203


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1563745919148940.3127491838297870.843625408085106
120.0685573732561650.137114746512330.931442626743835
130.4065509483761720.8131018967523430.593449051623828
140.5642542739235060.8714914521529890.435745726076494
150.5143364551139250.9713270897721490.485663544886075
160.4457212559720590.8914425119441190.554278744027941
170.3494295789454340.6988591578908670.650570421054566
180.2935771015604150.5871542031208290.706422898439586
190.2211609299057040.4423218598114070.778839070094296
200.2309246347479280.4618492694958560.769075365252072
210.3052956539524310.6105913079048630.694704346047569
220.3539142549980020.7078285099960040.646085745001998
230.2998177497319590.5996354994639180.700182250268041
240.2674112761425690.5348225522851380.732588723857431
250.2632461550800480.5264923101600960.736753844919952
260.2236917594013840.4473835188027680.776308240598616
270.2980992286111950.5961984572223910.701900771388805
280.236199451424810.472398902849620.76380054857519
290.2096122072149780.4192244144299560.790387792785022
300.3163977620596430.6327955241192860.683602237940357
310.3793341799014610.7586683598029220.620665820098539
320.3339350486101550.667870097220310.666064951389845
330.2793857645489840.5587715290979670.720614235451016
340.2370793537778790.4741587075557590.762920646222121
350.2723513728660390.5447027457320780.727648627133961
360.298162801629550.5963256032591010.70183719837045
370.267615170145480.5352303402909610.73238482985452
380.2161004138180880.4322008276361760.783899586181912
390.1733376155313920.3466752310627850.826662384468608
400.1478777564512510.2957555129025020.852122243548749
410.1143085727145060.2286171454290120.885691427285494
420.411249586363840.8224991727276810.58875041363616
430.751021767544610.497956464910780.24897823245539
440.8039367276393320.3921265447213350.196063272360668
450.7635803315440610.4728393369118780.236419668455939
460.7654620185955580.4690759628088830.234537981404442
470.8486726924182110.3026546151635790.151327307581789
480.8158710059446450.368257988110710.184128994055355
490.7900450112912590.4199099774174810.209954988708741
500.7516673427579610.4966653144840790.248332657242039
510.6958442513615490.6083114972769030.304155748638451
520.9327825950888310.1344348098223380.0672174049111689
530.9094896418974210.1810207162051580.0905103581025788
540.9377888598243420.1244222803513160.0622111401756582
550.929461607245150.1410767855096990.0705383927548496
560.9026328206038820.1947343587922350.0973671793961177
570.8710295389291050.257940922141790.128970461070895
580.8641461888138080.2717076223723830.135853811186192
590.85497588235530.29004823528940.1450241176447
600.8180602845849140.3638794308301730.181939715415086
610.8545694256095440.2908611487809110.145430574390456
620.8306479600042130.3387040799915740.169352039995787
630.7881804419045710.4236391161908570.211819558095429
640.7884425046151360.4231149907697270.211557495384864
650.7438767290618260.5122465418763490.256123270938174
660.7314190797278010.5371618405443970.268580920272199
670.73377834934170.53244330131660.2662216506583
680.6978433904027350.6043132191945310.302156609597265
690.6867098505442460.6265802989115070.313290149455754
700.6246181931758840.7507636136482320.375381806824116
710.6704700601953450.6590598796093110.329529939804655
720.5844376665646290.8311246668707420.415562333435371
730.5101975210592070.9796049578815860.489802478940793
740.5179939699191950.9640120601616090.482006030080805
750.4254483373678670.8508966747357340.574551662632133
760.3215072472574470.6430144945148930.678492752742553
770.3221200869702560.6442401739405110.677879913029744
780.2132635699237850.426527139847570.786736430076215
790.1874249993231180.3748499986462350.812575000676882


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