Multiple Linear Regression - Estimated Regression Equation
Score_op_20[t] = + 1.58039249309978 + 0.0588372332207715Blogs[t] + 0.218360727250341Reviews[t] + 2.37822105206558e-05Compendium_Writing[t] + 0.0170973892744964Gedeelde_compendia[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.580392493099780.5745532.75060.0069860.003493
Blogs0.05883723322077150.0134054.38932.7e-051.3e-05
Reviews0.2183607272503410.0420665.19091e-061e-06
Compendium_Writing2.37822105206558e-051e-052.37090.0195350.009767
Gedeelde_compendia0.01709738927449640.0968480.17650.8602050.430102


Multiple Linear Regression - Regression Statistics
Multiple R0.890165151853133
R-squared0.792393997573711
Adjusted R-squared0.784633025520392
F-TEST (value)102.099839057508
F-TEST (DF numerator)4
F-TEST (DF denominator)107
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.47589563831532
Sum Squared Residuals655.916335665686


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11212.9652455043849-0.965245504384862
21311.30016834799321.69983165200677
31112.1509606697003-1.15096066970034
41212.5837631278854-0.583763127885367
588.55072633940616-0.550726339406165
675.939689858614281.06031014138572
71816.0388081871861.96119181281402
805.73270230552475-5.73270230552475
999.3338123283168-0.333812328316792
101111.0728425443417-0.072842544341719
111313.3755889090622-0.375588909062186
121315.3392294536823-2.3392294536823
13910.2993618073601-1.29936180736014
141214.072260693849-2.07226069384897
151112.3162259544853-1.31622595448533
161719.5427429783314-2.54274297833145
171413.56299944639270.437000553607336
181512.29962715381362.70037284618644
191312.15624942903590.843750570964111
201515.0782840658282-0.0782840658282152
211314.412288636468-1.41228863646801
221313.3828160651157-0.382816065115748
2388.48365642116554-0.483656421165536
241613.67163681670232.32836318329772
251414.5481324954265-0.54813249542649
261412.44660731949351.55339268050655
271412.92025349557711.07974650442292
281414.4118199949384-0.411819994938391
29129.7460722549972.25392774500299
301415.3683968779954-1.36839687799543
3123.28243175399267-1.28243175399267
321215.9280630982568-3.92806309825683
331314.3445761260316-1.34457612603165
341617.0983794428245-1.09837944282455
351516.7827691486433-1.78276914864329
361614.60243615826341.3975638417366
371513.6306644970011.36933550299899
381612.75989543216133.24010456783874
391413.26481155567010.73518844432985
401714.79259985198832.20740014801173
411817.04048707244850.9595129275515
421615.04749453870470.952505461295262
43109.940069255874460.0599307441255351
441515.4002377948076-0.400237794807571
45109.012073145448550.987926854551447
461616.6831885517734-0.683188551773385
471716.93609324812850.0639067518714569
481715.77472368872261.22527631127739
491314.7226515866798-1.72265158667985
501416.2405623283461-2.24056232834613
51128.798453291629253.20154670837075
5277.02936469234475-0.0293646923447524
531410.58281628227933.41718371772071
541212.4489455946601-0.448945594660135
551613.18421302271832.81578697728172
561415.3364891695464-1.33648916954639
5789.41004405834342-1.41004405834342
581410.71356513393293.28643486606714
591512.28501452764572.71498547235433
601614.49757217610711.50242782389289
6102.64371191065053-2.64371191065053
621212.5159005797381-0.515900579738129
6385.98928661494262.0107133850574
641211.56698403753070.433015962469305
651514.92682887388960.0731711261103614
6601.97322722405065-1.97322722405065
671110.90114729561360.0988527043864051
68154.6992034884756310.3007965115244
691714.3412082810642.65879171893597
701311.0407714376041.95922856239604
7187.363471551287280.636528448712723
72157.122855631084947.87714436891506
73124.601220692345187.39877930765482
741010.1167798027528-0.116779802752817
751315.68511488506-2.68511488505996
761711.511324936565.48867506344002
771716.526793399850.473206600149958
781617.6936410419403-1.69364104194026
791819.4530555119956-1.45305551199564
801411.33917185703422.66082814296578
8198.763826304325840.236173695674163
821011.7634157787197-1.76341577871966
831515.1253026726567-0.125302672656697
8426.36382721470562-4.36382721470562
851113.9285490027351-2.92854900273512
861510.3269220329614.67307796703902
871414.0618643232003-0.0618643232002509
881311.16350681150311.83649318849686
8944.5812605038229-0.581260503822896
901211.82321665598490.176783344015058
911114.0639498943318-3.06394989433176
9298.888836372117740.111163627882265
931514.86220212425210.137797875747867
941615.39649247290640.603507527093624
951413.20067455100210.799325448997945
961617.0614210161525-1.06142101615248
9701.73426899657025-1.73426899657025
9802.00488134625364-2.00488134625364
9901.58039249309978-1.58039249309978
10001.58039249309978-1.58039249309978
10101.59748988237428-1.59748988237428
10201.58039249309978-1.58039249309978
103109.964039703989430.0359602960105691
1041215.7756026779355-3.77560267793546
10501.58039249309978-1.58039249309978
10601.58039249309978-1.58039249309978
10722.09320860930536-0.0932086093053647
10843.889774494089530.110225505910468
10901.98116277504355-1.98116277504355
11059.03273335117647-4.03273335117647
11101.58039249309978-1.58039249309978
11238.38386071176773-5.38386071176773


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2750514671682450.550102934336490.724948532831755
90.1505424359588460.3010848719176910.849457564041154
100.1832061667744060.3664123335488110.816793833225594
110.1327487729070980.2654975458141970.867251227092902
120.1373369961103720.2746739922207430.862663003889628
130.0824904716315890.1649809432631780.917509528368411
140.04844870518889220.09689741037778450.951551294811108
150.02629456660999340.05258913321998670.973705433390007
160.01496155332319630.02992310664639260.985038446676804
170.008194166713263560.01638833342652710.991805833286736
180.02896433951095240.05792867902190480.971035660489048
190.01882079135373790.03764158270747580.981179208646262
200.01048128393926590.02096256787853180.989518716060734
210.005773510666641880.01154702133328380.994226489333358
220.003148477432718610.006296954865437210.996851522567281
230.001750675500724120.003501351001448240.998249324499276
240.004115161081725290.008230322163450570.995884838918275
250.002224434404460460.004448868808920920.99777556559554
260.002575023355978660.005150046711957320.997424976644021
270.001412953386841320.002825906773682640.998587046613159
280.0007718585706746260.001543717141349250.999228141429325
290.002945996023132930.005891992046265870.997054003976867
300.002094063605357140.004188127210714280.997905936394643
310.002138406317674030.004276812635348060.997861593682326
320.005398915936539770.01079783187307950.99460108406346
330.005648476864728240.01129695372945650.994351523135272
340.003864182964959670.007728365929919350.99613581703504
350.002945908834411420.005891817668822840.997054091165589
360.001857549976219240.003715099952438480.99814245002378
370.001152818324541160.002305636649082310.998847181675459
380.001003394110741880.002006788221483760.998996605889258
390.0005864805518938760.001172961103787750.999413519448106
400.0005511779130273910.001102355826054780.999448822086973
410.000419069741335730.0008381394826714590.999580930258664
420.0002488327558157780.0004976655116315570.999751167244184
430.0001542051556504160.0003084103113008320.99984579484435
449.98483957595413e-050.0001996967915190830.99990015160424
459.46270629239223e-050.0001892541258478450.999905372937076
465.89515004110194e-050.0001179030008220390.999941048499589
473.73470844475853e-057.46941688951705e-050.999962652915552
482.2507340566045e-054.50146811320899e-050.999977492659434
491.37373729660276e-052.74747459320552e-050.999986262627034
501.2789550321551e-052.55791006431019e-050.999987210449678
515.48919476715896e-050.0001097838953431790.999945108052328
523.07548428138751e-056.15096856277503e-050.999969245157186
534.18552394921354e-058.37104789842709e-050.999958144760508
542.29163081997186e-054.58326163994372e-050.9999770836918
553.69952568487668e-057.39905136975336e-050.999963004743151
562.71890811367083e-055.43781622734167e-050.999972810918863
571.87783577163413e-053.75567154326826e-050.999981221642284
582.98616685780223e-055.97233371560447e-050.999970138331422
596.51051962218292e-050.0001302103924436580.999934894803778
605.45124822450359e-050.0001090249644900720.999945487517755
610.0001889111755631630.0003778223511263260.999811088824437
620.0001202395946760280.0002404791893520550.999879760405324
639.15765466396583e-050.0001831530932793170.99990842345336
645.5217228419972e-050.0001104344568399440.99994478277158
653.14400416772235e-056.28800833544469e-050.999968559958323
663.71857603150395e-057.4371520630079e-050.999962814239685
672.03424806688126e-054.06849613376252e-050.999979657519331
680.03933361883265470.07866723766530930.960666381167345
690.04577785099370230.09155570198740460.954222149006298
700.04021497206017840.08042994412035670.959785027939822
710.02933396636427480.05866793272854960.970666033635725
720.2494520204328610.4989040408657230.750547979567139
730.759378267739570.4812434645208610.240621732260431
740.7099865381155950.580026923768810.290013461884405
750.7359313769503160.5281372460993690.264068623049684
760.8873146115483870.2253707769032250.112685388451613
770.8628938236563450.274212352687310.137106176343655
780.8310241748994780.3379516502010430.168975825100522
790.8027471489100250.3945057021799490.197252851089975
800.8443631396128310.3112737207743380.155636860387169
810.8113151954890980.3773696090218030.188684804510902
820.779944225608860.4401115487822810.22005577439114
830.7272448882927220.5455102234145560.272755111707278
840.9074078057939230.1851843884121530.0925921942060765
850.8954991335176240.2090017329647510.104500866482376
860.9740002623531570.0519994752936870.0259997376468435
870.9645743662054050.070851267589190.035425633794595
880.9796504731004160.04069905379916720.0203495268995836
890.973464617133140.05307076573371770.0265353828668588
900.959292895180210.08141420963958140.0407071048197907
910.955862294025890.08827541194821930.0441377059741097
920.951212594223150.09757481155370020.0487874057768501
930.9264558257619260.1470883484761480.073544174238074
940.980217804843480.03956439031303880.0197821951565194
950.9803747095251390.03925058094972280.0196252904748614
960.9917336580664260.01653268386714780.00826634193357392
970.9937213185809970.01255736283800590.00627868141900297
980.989771334347430.02045733130514180.0102286656525709
990.9788907534619020.04221849307619550.0211092465380978
1000.9577229758436820.0845540483126360.042277024156318
1010.9353561791814130.1292876416371730.0646438208185866
1020.8747365091920390.2505269816159220.125263490807961
1030.9497576100218430.1004847799563140.050242389978157
1040.9982763351028050.003447329794390520.00172366489719526


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level450.463917525773196NOK
5% type I error level590.608247422680412NOK
10% type I error level730.752577319587629NOK