Multiple Linear Regression - Estimated Regression Equation
TijdInRFC[t] = + 16866.0613532482 + 592.162232583682Blogs[t] + 59.9880577996278Peerreviews[t] + 1.61250184118775Compendiumtijd[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)16866.06135324827048.4082962.39290.0196150.009807
Blogs592.162232583682241.4700342.45230.0168880.008444
Peerreviews59.9880577996278627.2553390.09560.9241040.462052
Compendiumtijd1.612501841187750.2101977.671400


Multiple Linear Regression - Regression Statistics
Multiple R0.892528796741298
R-squared0.796607653012469
Adjusted R-squared0.787220313920737
F-TEST (value)84.8597930923867
F-TEST (DF numerator)3
F-TEST (DF denominator)65
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19612.2492686778
Sum Squared Residuals25001620889.4891


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16304742376.20615080920670.793849191
266751104406.277701053-37655.2777010527
3717619976.5774048994-12800.5774048994
47830687922.5759469907-9616.57594699067
514465590213.820595499754441.1794045003
6269638252951.99699090416686.0030090958
76926678317.3675765155-9051.36757651555
883529101687.494075529-18158.4940755286
97322681250.2716834472-8024.27168344724
10178519143839.13745229634679.8625477037
116725081700.4552937399-14450.4552937399
12102982111276.271077902-8294.27107790208
135000159460.382042261-9459.38204226096
149109376273.837412492814819.1625875072
158011288361.5294643527-8249.52946435267
167296165454.77007248527506.22992751481
1777159101152.00385645-23993.0038564496
181562917166.0016422464-1537.00164224639
197169388404.4669680967-16711.4669680967
201992036538.9009185172-16618.9009185172
213940342743.400325885-3340.40032588502
22104383132166.261857696-27783.2618576956
235608829145.50198227326942.498017727
246200649682.705582279712323.2944177203
258166586861.6468698733-5196.64686987332
266945167669.254858881781.74514111996
278879480848.45656875047945.54343124962
2890642116072.132669527-25430.1326695267
29207069144202.81475466962866.1852453308
309934086124.712488141713215.2875118583
315669538846.824430405317848.1755695947
3210814388917.047818957819225.9521810422
336420459876.85956855354327.14043144652
342910123357.37267959325743.62732040678
3511306096402.091290431616657.9087095684
36016866.0613532482-16866.0613532482
376577343630.815236968222142.1847630318
386704769637.9799991656-2590.97999916564
394195341823.9343060633129.065693936673
40113787154424.620380623-40637.6203806232
418658489663.3592489441-3079.3592489441
425958849916.50806203169671.4919379684
434006452484.1835122873-12420.1835122873
447447171339.04288002833131.95711997167
456043758603.22641584391833.77358415615
465511853130.34469933761987.65530066244
474029545975.4372877987-5680.43728779865
4810339774390.838746059529006.1612539405
497898271499.94234071397482.05765928611
506731759599.3299296387717.67007036198
513988742841.452395059-2954.45239505901
525968252558.12185479317123.87814520686
5313274094745.468627358437994.5313726416
5410481693732.652629530311083.3473704697
55101395106182.0714119-4787.07141190017
567282471470.71837948721353.28162051277
577601883784.691200646-7766.69120064598
583389135840.8188421902-1949.81884219019
596369480683.8651065791-16989.8651065791
603323919700.558939992313538.4410600077
613509334399.4896914457693.510308554279
623525240665.87640229-5413.87640229003
633697736624.7567129538352.243287046189
644240668767.6455352125-26361.6455352125
655635360681.6716816339-4328.67168163392
665881773744.7984926963-14927.7984926963
6781051112683.560660876-31632.5606608762
687087287607.5991895291-16735.5991895291
694237263800.1297746723-21428.1297746723


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8827199747480580.2345600505038840.117280025251942
80.848595146154280.3028097076914410.151404853845721
90.8078126667059710.3843746665880570.192187333294029
100.978961703777840.04207659244431930.0210382962221596
110.9777208646441960.04455827071160710.0222791353558035
120.9714795868483670.05704082630326510.0285204131516326
130.9533980972960.0932038054080010.0466019027040005
140.9433719300553770.1132561398892450.0566280699446227
150.9141575292981320.1716849414037360.085842470701868
160.8862977262978720.2274045474042560.113702273702128
170.9208365528884760.1583268942230490.0791634471115243
180.8888562510098680.2222874979802640.111143748990132
190.8775203241185320.2449593517629350.122479675881468
200.8545688441141240.2908623117717510.145431155885876
210.8051905401994990.3896189196010020.194809459800501
220.8401584568863780.3196830862272430.159841543113622
230.8718514849750040.2562970300499930.128148515024996
240.8519810537490640.2960378925018720.148018946250936
250.8060116757655130.3879766484689740.193988324234487
260.7517290191165430.4965419617669140.248270980883457
270.6954884830839540.6090230338320930.304511516916046
280.736780497892190.5264390042156210.26321950210781
290.9901229280231090.0197541439537830.00987707197689148
300.9892945450318730.0214109099362550.0107054549681275
310.9867104479803520.02657910403929630.0132895520196481
320.988107502467410.02378499506518110.0118924975325906
330.982363243977940.03527351204411880.0176367560220594
340.972819640772040.054360718455920.02718035922796
350.9754796238970040.04904075220599150.0245203761029957
360.9805189352398240.03896212952035130.0194810647601756
370.9815382351238640.03692352975227220.0184617648761361
380.972313521584530.0553729568309410.0276864784154705
390.9616194011040240.0767611977919520.038380598895976
400.981503772048480.03699245590304120.0184962279515206
410.9714269894859370.05714602102812620.0285730105140631
420.9620012397682920.07599752046341570.0379987602317078
430.954135536933120.09172892613376170.0458644630668808
440.9328290860480890.1343418279038220.0671709139519112
450.9025603087471210.1948793825057580.0974396912528792
460.8668556215526770.2662887568946470.133144378447323
470.8221648412235450.355670317552910.177835158776455
480.881181068434160.2376378631316820.118818931565841
490.8541302271687940.2917395456624130.145869772831206
500.8111828411661290.3776343176677430.188817158833871
510.7463650854317690.5072698291364620.253634914568231
520.6817080743167090.6365838513665810.318291925683291
530.9775208355597210.04495832888055810.0224791644402791
540.995027837225290.009944325549418920.00497216277470946
550.9977427608757960.004514478248407360.00225723912420368
560.998134706358490.003730587283019090.00186529364150954
570.9989468896297510.002106220740498020.00105311037024901
580.9967426104564380.006514779087124630.00325738954356231
590.9909161948124930.01816761037501350.00908380518750674
600.9794767612741720.04104647745165580.0205232387258279
610.9433720193305860.1132559613388280.0566279806694141
620.8571218900286450.285756219942710.142878109971355


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.0892857142857143NOK
5% type I error level190.339285714285714NOK
10% type I error level270.482142857142857NOK