Multiple Linear Regression - Estimated Regression Equation
Productiviteit[t] = + 538.031862522378 -0.00202733744350683Werkgelegenheid[t] + 2.79373211016905Uurloon[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)538.031862522378128.5710344.18478.9e-054.4e-05
Werkgelegenheid-0.002027337443506830.000375-5.40211e-061e-06
Uurloon2.793732110169050.12487822.371800


Multiple Linear Regression - Regression Statistics
Multiple R0.96756073301683
R-squared0.936173772076067
Adjusted R-squared0.934179202453444
F-TEST (value)469.361290504857
F-TEST (DF numerator)2
F-TEST (DF denominator)64
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation30.3765927543423
Sum Squared Residuals59055.1927912421


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
198.7110.250759051245-11.550759051245
299.2922105.006222140386-5.71402214038636
399.8879532103.420020418844-3.53206721884428
4102.9844797105.160922902432-2.17644320243234
5106.5889365104.1489942456642.43994225433637
6111.3854387100.49921024405610.8862284559439
7112.833449498.372462088095214.4609873119048
8113.059116389.70609393580123.3530223641991
9111.476288786.036001958977625.4402867410224
10116.827150587.445203854041829.3819466459583
11120.799273689.68565837358331.113615226417
12122.73206299.3790527714823.3530092285199
13125.5548994117.9103321372717.64456726272909
14128.6937719127.7766626629450.917109237055077
15135.7719294139.772125567391-4.0001961673912
16139.9808592134.416356924725.56450227527999
17145.4401127149.767792621364-4.32767992136389
18145.876433137.0380710717548.83836192824583
19150.6903553133.33215759896117.3581977010386
20161.3893706149.24245895119612.1469116488037
21158.96853190.47085501469-31.5023250146904
22173.9115718177.665873830964-3.75430203096379
23174.0854834196.882278408928-22.796795008928
24181.0489027193.384234829228-12.3353321292282
25178.695267217.112567422627-38.4173004226272
26191.9187167211.983310735378-20.0645940353779
27196.7166847215.450523945917-18.7338392459174
28208.1262524241.823915125707-33.6976627257073
29226.4413626258.589759298776-32.1483966987757
30227.5735694262.524229526896-34.9506601268963
31236.221365263.122294072731-26.9009290727308
32235.7489223259.791706567671-24.0427842676708
33244.4716324273.313262612875-28.8416302128752
34257.9175722315.359333819622-57.441761619622
35282.4197416329.364790960956-46.9450493609557
36286.6560377337.934991359626-51.2789536596261
37288.3759739304.857111471782-16.4811375717825
38297.8923811315.0412121973-17.1488310972999
39299.9776277334.276384269779-34.2987565697792
40301.4775159324.155884717855-22.6783688178554
41314.1395715329.075525284689-14.935953784689
42311.626455324.041825466892-12.4153704668916
43321.2868751317.7472463860383.53962871396239
44320.6443013307.16955733287213.4747439671282
45328.6604088320.4959466870648.16446211293613
46329.9750505306.4683309479923.5067195520103
47322.7155994288.35496567896934.3606337210314
48331.4289206353.432966431215-22.0040458312151
49331.0974916350.254101319796-19.1566097197964
50342.0237089326.65841922240215.3652896775984
51358.0988232327.61542148245630.4834017175438
52365.6188985336.17740116066229.441497339338
53356.8440449344.8974415511211.9466033488796
54364.6946139307.11080854836357.5838053516365
55362.1417516295.33734938570366.8044022142973
56349.828932378.82387557607-28.9949435760698
57354.3767081389.855361471552-35.478653371552
58382.7268448432.152784975625-49.4259401756255
59407.6040897429.232682609119-21.6285929091186
60430.0223146422.264269035427.7580455645798
61449.8033411424.23553729237325.5678038076272
62455.2009812441.23041595289713.9705652471025
63464.7602018444.45080844207220.3093933579284
64474.9849263428.33899477195946.645931528041
65472.1350167427.81964858850944.3153681114913
66471.6628817416.09210026123555.5707814387651
67486.284431398.1915088274288.0929221725796


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.0001213294373964370.0002426588747928730.999878670562604
74.66473488784541e-069.32946977569081e-060.999995335265112
81.6511730241236e-073.3023460482472e-070.999999834882698
96.97180760958013e-081.39436152191603e-070.999999930281924
108.34723118333472e-091.66944623666694e-080.999999991652769
118.9785709410618e-101.79571418821236e-090.999999999102143
124.36327054613705e-108.7265410922741e-100.999999999563673
133.90298237736076e-117.80596475472152e-110.99999999996097
142.48693014331722e-124.97386028663445e-120.999999999997513
155.08802467789316e-131.01760493557863e-120.99999999999949
161.43916729819854e-132.87833459639709e-130.999999999999856
173.64758450844583e-147.29516901689166e-140.999999999999963
184.32427869763654e-158.64855739527308e-150.999999999999996
191.92450807393623e-153.84901614787245e-150.999999999999998
202.09548599240135e-144.19097198480271e-140.999999999999979
213.35681327809048e-156.71362655618096e-150.999999999999997
223.2104250296006e-146.4208500592012e-140.999999999999968
237.27714977005237e-151.45542995401047e-140.999999999999993
241.34485731628009e-142.68971463256018e-140.999999999999987
251.75298538338956e-153.50597076677913e-150.999999999999998
263.12993557415261e-146.25987114830521e-140.999999999999969
274.23366474054763e-138.46732948109527e-130.999999999999577
282.87391763511755e-125.74783527023511e-120.999999999997126
295.54906754020969e-111.10981350804194e-100.99999999994451
307.15982568488274e-111.43196513697655e-100.999999999928402
311.75980699181427e-103.51961398362854e-100.99999999982402
322.20461399863795e-104.4092279972759e-100.999999999779539
331.7615023454217e-103.5230046908434e-100.99999999982385
347.1781291461981e-111.43562582923962e-100.999999999928219
357.55990956784034e-111.51198191356807e-100.999999999924401
367.32536694482317e-111.46507338896463e-100.999999999926746
378.26026765510347e-101.65205353102069e-090.999999999173973
383.98280765316079e-097.96561530632158e-090.999999996017192
395.65803348513054e-091.13160669702611e-080.999999994341967
401.41150383367507e-082.82300766735014e-080.999999985884962
416.87002678373958e-081.37400535674792e-070.999999931299732
423.11371424888922e-076.22742849777844e-070.999999688628575
432.81806206120777e-065.63612412241554e-060.999997181937939
442.62221736341995e-055.2444347268399e-050.999973777826366
458.48541681829369e-050.0001697083363658740.999915145831817
460.0003557793747817770.0007115587495635540.999644220625218
470.002138414694060520.004276829388121040.99786158530594
480.00154138653450010.00308277306900020.9984586134655
490.001009718354439480.002019436708878950.99899028164556
500.0009722241154620660.001944448230924130.999027775884538
510.001352679229284130.002705358458568260.998647320770716
520.001918292296972020.003836584593944040.998081707703028
530.001956343204581610.003912686409163230.998043656795418
540.004559732339277440.009119464678554880.995440267660723
550.007494988758597670.01498997751719530.992505011241402
560.003819345452650060.007638690905300110.99618065454735
570.03463866800688150.0692773360137630.965361331993118
580.5009996532898330.9980006934203330.499000346710167
590.9556776525925220.08864469481495620.0443223474074781
600.9814102440226620.03717951195467620.0185897559773381
610.98382171774140.03235656451719810.016178282258599


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level500.892857142857143NOK
5% type I error level530.946428571428571NOK
10% type I error level550.982142857142857NOK