Multiple Linear Regression - Estimated Regression Equation
Kijkcijfers[t] = + 22305689.4422709 -434868.354365401Temperatuur[t] + 126331.126374946Neerslag[t] -2972.05562531293Zonneschijnduur[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)22305689.4422709416070.77586153.610300
Temperatuur-434868.35436540139673.981852-10.96100
Neerslag126331.12637494684185.1881561.50060.1366010.068301
Zonneschijnduur-2972.055625312931457.840352-2.03870.0441220.022061


Multiple Linear Regression - Regression Statistics
Multiple R0.869955756825498
R-squared0.756823018833825
Adjusted R-squared0.74952770939884
F-TEST (value)103.741044239250
F-TEST (DF numerator)3
F-TEST (DF denominator)100
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1878997.01130159
Sum Squared Residuals353062976848032


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11556160015490361.171365671238.82863437
21491750014310397.2531482607102.74685184
31480592015720123.6022421-914203.602242134
41695800015726260.81767371231739.18232631
51760500018680085.4248317-1075085.42483165
61713120015912560.46364181218639.53635820
71847460016360933.27615832113666.72384173
81728670017448592.7519948-161892.751994826
91857440019371376.0969790-796976.096979023
101805600017881378.7473251174621.252674884
111970160018193271.14240131508328.85759866
121906170020303963.2098513-1242263.20985127
131968190021218943.8582164-1537043.85821644
143452120021079866.783898413441333.2161016
151992270021496215.0888637-1573515.08886374
162017790020077898.3384324100001.661567644
171975990020404957.6706159-645057.670615948
182307670022707458.8031836369241.196816442
192253200023511818.9937372-979818.9937372
202202940020557709.99423591471690.00576408
212258700021023773.03992391563226.96007615
222325660021376647.49132571879952.50867427
232268030020919524.42697171760775.57302831
242191640021537399.3109462379000.689053752
251964020020638523.5690154-998323.56901536
261881310019272970.77807-459870.778070012
271873000019410465.3009503-680465.300950303
281815470018710750.8454649-556050.845464931
291784880017655980.6954916192819.304508351
301807750019932319.6256094-1854819.62560937
311713310016224791.3952393908308.60476068
321660260015457769.92248881144830.07751123
331587890016371392.9234379-492492.923437881
341578910015519155.8361636269944.163836361
351542200016273032.2617699-851032.261769895
361466140015932807.3062624-1271407.30626237
371587920016422108.3077731-542908.307773114
381433930013644389.1606875694910.839312545
391316960014045009.3962156-875409.396215589
401452890015044675.8666604-515775.866660434
411337580015713627.2075897-2337827.20758967
421230990014209486.8274132-1899586.82741321
431193390012375765.6740081-441865.674008106
441006190010547356.2663483-485456.26634826
451260960015085478.3946368-2475878.39463682
461115650012869085.5910468-1712585.59104675
471218720013686075.8341398-1498875.83413984
481128430013411471.7208982-2127171.72089820
491017700011726883.4857667-1549883.48576668
501097072012818577.6758419-1847857.67584192
511082068011923852.5686699-1103172.56866989
521149239013328455.2941103-1836065.29411029
531457375014744180.0705738-170430.070573815
541399282013995549.4203239-2729.42032390920
551472707014468087.6223733258982.377626654
561568536014448400.44120231236959.55879772
571673621016250996.3468984485213.653101552
581795018017613352.1435398336827.856460245
591700273017251389.6148101-248659.614810066
601741516017325525.627116489634.3728836058
611792981017027167.6447325902642.355267474
621786579018870225.1600536-1004435.16005359
631920236017939491.22818191262868.77181809
641908500016860936.56078072224063.43921929
651818888017671302.2578206517577.742179371
661846641019683499.7647815-1217089.76478154
671852040019643586.5450209-1123186.54502089
682002550023297614.3093677-3272114.30936766
692063610021416866.473144-780766.473143981
702067200021981400.5856402-1309400.58564018
712258910023552239.0192337-963139.019233702
722186480021674701.4033889190098.596611128
732275010020844991.88360371905108.11639635
742254874622295637.4753704253108.524629565
752132549520620855.9058313704639.09416875
762155656323362470.7376630-1805907.73766297
772141526921401204.137274014064.8627259743
782040105420058685.0723197342368.927680251
791906225320474555.5190159-1412302.5190159
801908570620780466.8950475-1694760.89504747
811927996717443381.16935061836585.83064943
821855204517144197.25688561407847.74311437
831780073319033628.5740772-1232895.57407722
841714249017220370.0643330-77880.0643329632
851759317316472263.57246321120909.42753676
861763385916176998.19365601456860.80634404
871733661315331354.68388322005258.31611680
881700834718325063.0820513-1316716.08205131
891795196518513764.5725072-561799.572507217
901452092914302074.4030886218854.596911391
911694121715297482.73675681643734.26324323
921543682413573699.52398081863124.47601917
931474426114704077.729607140183.2703928535
941424800414832295.4360174-584291.43601736
951154095311895620.9999059-354667.999905936
961288166110567608.37219742314052.62780264
971518575711141637.30816904044119.69183104
981355433912835639.9844747718699.015525282
991357510612358075.95166421217030.04833585
1001223840013716522.2798913-1478122.27989129
1011330361414425383.1448668-1121769.14486684
1021415147815295690.3474423-1144212.34744231
1031417200914765178.6045297-593169.604529667
1041402232014924024.6533574-901704.653357371


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.1887793421984840.3775586843969690.811220657801516
80.1298847724086170.2597695448172340.870115227591383
90.08998903766062730.1799780753212550.910010962339373
100.04191620189364960.08383240378729920.95808379810635
110.02814624289057230.05629248578114470.971853757109428
120.02074560261339410.04149120522678820.979254397386606
130.01154750718492430.02309501436984860.988452492815076
140.9999999998764632.47073627798120e-101.23536813899060e-10
150.9999999999174221.65155558565784e-108.25777792828921e-11
160.9999999997591254.81750852227103e-102.40875426113552e-10
170.999999999392191.21561959645478e-096.07809798227388e-10
180.9999999983166343.36673272220064e-091.68336636110032e-09
190.9999999961485577.70288563352005e-093.85144281676003e-09
200.9999999933777771.32444456700882e-086.62222283504409e-09
210.9999999902011471.95977057799035e-089.79885288995176e-09
220.9999999908000041.83999917004563e-089.19999585022817e-09
230.9999999894298152.11403694849846e-081.05701847424923e-08
240.9999999797626294.0474742660253e-082.02373713301265e-08
250.999999968588696.2822620748779e-083.14113103743895e-08
260.9999999309169181.38166163183575e-076.90830815917875e-08
270.9999998599152972.80169404998429e-071.40084702499214e-07
280.9999997198684085.60263183294047e-072.80131591647023e-07
290.9999993992658061.20146838851502e-066.00734194257508e-07
300.9999995364866869.27026628746296e-074.63513314373148e-07
310.999999197921991.60415602175062e-068.02078010875312e-07
320.9999987122436262.57551274822201e-061.28775637411100e-06
330.9999975983241044.8033517927108e-062.4016758963554e-06
340.999995237222859.52555429910376e-064.76277714955188e-06
350.9999918432964131.63134071744172e-058.1567035872086e-06
360.9999882230882452.35538235104834e-051.17769117552417e-05
370.999979289908144.14201837212818e-052.07100918606409e-05
380.9999650044304856.99911390292732e-053.49955695146366e-05
390.9999435848114030.0001128303771936015.64151885968005e-05
400.9999015509405080.0001968981189848579.84490594924286e-05
410.999930113576610.0001397728467818356.98864233909177e-05
420.9999302599801630.0001394800396735316.97400198367655e-05
430.9998811436836510.0002377126326978000.000118856316348900
440.9998106470231210.0003787059537572760.000189352976878638
450.9998802804860690.0002394390278628680.000119719513931434
460.9998796703879590.0002406592240826310.000120329612041316
470.9998634797282010.0002730405435975330.000136520271798767
480.9999069091111450.0001861817777099989.3090888854999e-05
490.9999210624901430.0001578750197141987.89375098570989e-05
500.9999495097531350.0001009804937295325.04902468647660e-05
510.9999548112339419.037753211747e-054.5188766058735e-05
520.999978683067014.26338659794134e-052.13169329897067e-05
530.9999642062956057.15874087904927e-053.57937043952463e-05
540.9999433819070240.0001132361859515275.66180929757637e-05
550.999904336358210.0001913272835803899.56636417901943e-05
560.9998575534034790.0002848931930423220.000142446596521161
570.9997494438528440.0005011122943118710.000250556147155935
580.9996179969218630.0007640061562732810.000382003078136641
590.9993716718933140.001256656213371790.000628328106685895
600.9989430676782930.002113864643414570.00105693232170729
610.9984097172616020.003180565476796450.00159028273839823
620.9977316112176190.004536777564762620.00226838878238131
630.9971615095418290.005676980916342030.00283849045817102
640.9979993146689140.004001370662172870.00200068533108644
650.9971252001470170.0057495997059660.002874799852983
660.9960539667986510.007892066402697810.00394603320134891
670.9945119811482730.01097603770345450.00548801885172723
680.9979962118529060.004007576294188720.00200378814709436
690.9968243704374960.006351259125008480.00317562956250424
700.9955606019400720.008878796119856850.00443939805992843
710.9933311332270670.01333773354586610.00666886677293305
720.990241815460790.01951636907841910.00975818453920953
730.9946070941591680.01078581168166360.00539290584083181
740.9925483588608040.01490328227839280.00745164113919642
750.9921881871106040.01562362577879160.00781181288939582
760.9890325328880380.02193493422392470.0109674671119624
770.9855712845409280.02885743091814430.0144287154590722
780.9852164614423640.02956707711527190.0147835385576360
790.9806602241378280.03867955172434480.0193397758621724
800.9762385436206570.04752291275868680.0237614563793434
810.9882928633454850.02341427330902970.0117071366545149
820.9920783331416450.01584333371671080.00792166685835539
830.9865280961895820.02694380762083630.0134719038104181
840.977069784128980.04586043174204060.0229302158710203
850.9644763159111050.07104736817779050.0355236840888952
860.9487606768277340.1024786463445320.051239323172266
870.957600650149420.08479869970115830.0423993498505792
880.9335894073307340.1328211853385320.0664105926692661
890.9267293539101360.1465412921797270.0732706460898636
900.8929277470763050.2141445058473910.107072252923695
910.9355242575642160.1289514848715670.0644757424357835
920.9542263795696910.0915472408606180.045773620430309
930.9417887135987120.1164225728025760.0582112864012881
940.958764805248410.08247038950318060.0412351947515903
950.968163641078880.06367271784223840.0318363589211192
960.9634190134427740.0731619731144510.0365809865572255
970.972453713525010.05509257294998170.0275462864749909


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level560.615384615384615NOK
5% type I error level730.802197802197802NOK
10% type I error level820.901098901098901NOK