Multiple Linear Regression - Estimated Regression Equation
populair[t] = -1.89771513378114 + 0.259413164999801vrienden[t] -0.299812901556042vrienden_G[t] + 0.280958680758531kennen[t] + 0.0293102671918129kennen_G[t] + 0.309425519926918geliefd[t] -0.0744689878374152geliefd_G[t] + 0.600578736213396celebrity[t] -0.0325734070475991celebrity_G[t] + 4.98632723777635`geslacht(dummy)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1.897715133781142.809863-0.67540.500980.25049
vrienden0.2594131649998010.1674581.54910.124480.06224
vrienden_G-0.2998129015560420.241835-1.23970.2179430.108972
kennen0.2809586807585310.1447331.94120.0550180.027509
kennen_G0.02931026719181290.1764410.16610.8683950.434197
geliefd0.3094255199269180.1816171.70370.0915070.045753
geliefd_G-0.07446898783741520.250898-0.29680.7672210.38361
celebrity0.6005787362133960.3515031.70860.0905960.045298
celebrity_G-0.03257340704759910.437678-0.07440.9408210.47041
`geslacht(dummy)`4.986327237776353.8546191.29360.1987550.099377


Multiple Linear Regression - Regression Statistics
Multiple R0.702750472577834
R-squared0.493858226708369
Adjusted R-squared0.448756484533867
F-TEST (value)10.9498702909878
F-TEST (DF numerator)9
F-TEST (DF denominator)101
p-value9.68036761861413e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.24839448407162
Sum Squared Residuals510.58305335637


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11311.23234550952571.76765449047427
21210.98042841191561.01957158808442
3109.912577724065250.0874222759347496
41516.300978906907-1.30097890690700
5910.8733168624218-1.87331686242182
61212.5089933025414-0.50899330254136
71111.8301192796116-0.830119279611582
81112.2442840528429-1.24428405284292
91513.03306666789561.96693333210443
10711.2209945292950-4.22099452929504
111111.3267841178561-0.326784117856096
121111.4938547583225-0.493854758322506
131012.2442840528429-2.24428405284292
141413.72449062870570.275509371294307
15109.202727742997680.797272257002321
1668.25280081209392-2.25280081209392
17119.087342686136581.91265731386342
181513.73468516423361.26531483576636
191112.4878411878557-1.48784118785573
20128.987949275575863.01205072442413
211413.72031637673380.279683623266207
221514.28640799022280.713592009777246
23914.0156438449922-5.01564384499217
241313.2385975779321-0.238597577932119
251312.30585457809370.694145421906276
26139.318439895414763.68156010458524
271212.85642095938-0.856420959380003
281414.4479658221283-0.447965822128252
29118.850106336189032.14989366381097
30910.8733168624218-1.87331686242182
311613.69602378953732.30397621046269
321313.4504471653397-0.450447165339691
331615.34385998667470.656140013325316
34158.564897055222686.43510294477732
3559.48826201182577-4.48826201182577
361111.3538769455481-0.353876945548125
371613.14430096354822.85569903645181
381713.42766731621373.57233268378626
3998.556953530035980.443046469964017
40912.2619039402732-3.26190394027321
411314.7354549209526-1.73545492095265
42611.6585366990715-5.6585366990715
431211.92159797536270.0784020246373308
4489.88775899618823-1.88775899618823
451412.15254430119411.84745569880592
461212.8824418361739-0.882441836173893
471614.85665413062141.14334586937863
4889.60795676013254-1.60795676013254
491515.3666398358006-0.366639835800635
5078.97775474004792-1.97775474004792
511613.64601143461022.35398856538981
521414.8476348461144-0.847634846114387
531613.92036022951872.07963977048130
54910.2461331935941-1.24613319359412
551112.7462017139978-1.74620171399782
5655.60618897131157-0.606188971311574
571512.88244183617392.11755816382611
581312.53177315166730.468226848332692
591111.3812261296043-0.381226129604338
601112.4558916428751-1.45589164287508
611212.5666858309719-0.566685830971908
621410.64737961483933.35262038516070
6368.1859614643385-2.18596146433850
6479.29737479550278-2.29737479550278
651413.10722036808100.892779631918951
661413.84504781365790.154952186342145
671011.7570781967896-1.7570781967896
68138.134878697772334.86512130222767
691212.1627388367220-0.162738836722030
7098.700069271407680.299930728592323
711212.5831470027268-0.583147002726832
72109.599878992020040.400121007979956
731013.6100912815684-3.61009128156835
741615.30346025011840.696539749881558
751514.11138479779660.88861520220338
76810.5093566320612-2.50935663206122
7788.33735818443535-0.337358184435352
781311.93179251089061.06820748910938
791615.65412893462500.345871065374972
801614.75823477007861.24176522992140
811415.683498525076-1.68349852507599
82118.994410382845452.00558961715455
831413.96945215502590.0305478449740627
84910.8560240705475-1.85602407054751
85810.7807116546867-2.78071165468667
86811.3946037776603-3.39460377766035
871112.5372602089189-1.53726020891895
881214.4499206521246-2.44992065212455
891413.56969154501210.430308454987889
901612.82468090809333.17531909190667
911613.64500396087302.35499603912705
921413.36505275385170.634947246148343
931410.44275503429563.55724496570436
941412.16716849354321.83283150645685
9589.59987899202004-1.59987899202004
961613.36505275385172.63494724614834
971210.59484704810441.40515295189559
981213.7203163767338-1.72031637673379
991614.90410258537381.09589741462625
1001512.8299092694392.17009073056100
1011011.1172926790183-1.11729267901830
1021210.72269203070011.27730796929986
1031413.10563958885190.894360411148143
1041914.19022944091284.8097705590872
1051512.97890636672042.02109363327964
10687.764871388217260.235128611782735
107810.7977632523285-2.79776325232855
1081014.4527177687780-4.45271776877798
1091513.38659826961041.61340173038961
1101614.39543325539341.60456674460664
1111313.3979145986048-0.397914598604801


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.1655972887199710.3311945774399420.83440271128003
140.2103511097428530.4207022194857060.789648890257147
150.1143486742104470.2286973484208930.885651325789553
160.3582347989049380.7164695978098770.641765201095062
170.3628062880003570.7256125760007140.637193711999643
180.2950139904817970.5900279809635940.704986009518203
190.2600263809170580.5200527618341160.739973619082942
200.3956682641949180.7913365283898350.604331735805082
210.3206838091495860.6413676182991730.679316190850414
220.2435309482530180.4870618965060370.756469051746982
230.4106533584394790.8213067168789580.589346641560521
240.3671185202999060.7342370405998110.632881479700094
250.3255534354313260.6511068708626520.674446564568674
260.3853845872690690.7707691745381390.614615412730931
270.3695971376851470.7391942753702940.630402862314853
280.3036828619292280.6073657238584550.696317138070772
290.2489686070832460.4979372141664930.751031392916754
300.2238224216569310.4476448433138620.776177578343069
310.2498217387119010.4996434774238020.750178261288099
320.1967101417301220.3934202834602450.803289858269878
330.1611404544375260.3222809088750510.838859545562474
340.3745617850750890.7491235701501770.625438214924911
350.410817719148840.821635438297680.589182280851160
360.3772179083030430.7544358166060850.622782091696958
370.4631941106663490.9263882213326970.536805889333651
380.573972659563010.8520546808739810.426027340436991
390.5333261377768450.933347724446310.466673862223155
400.6291032088893560.7417935822212870.370896791110644
410.6030832261507080.7938335476985830.396916773849292
420.8048840694828050.3902318610343910.195115930517195
430.7650113975807550.469977204838490.234988602419245
440.803697454848810.3926050903023820.196302545151191
450.8015937515907490.3968124968185030.198406248409252
460.7659253404141290.4681493191717420.234074659585871
470.7275215466228470.5449569067543060.272478453377153
480.7424090090510740.5151819818978510.257590990948926
490.6978120135283980.6043759729432050.302187986471602
500.6890646652790110.6218706694419780.310935334720989
510.7037956940115640.5924086119768730.296204305988436
520.6718776214253770.6562447571492460.328122378574623
530.6611846714576610.6776306570846770.338815328542339
540.6876569342758270.6246861314483460.312343065724173
550.669745541885830.6605089162283390.330254458114170
560.6303102629553820.7393794740892370.369689737044618
570.6265577065380670.7468845869238660.373442293461933
580.5762097695441140.8475804609117720.423790230455886
590.5206023528648160.9587952942703670.479397647135183
600.643982553770780.712034892458440.35601744622922
610.6076046420109380.7847907159781230.392395357989062
620.6843584618156640.6312830763686720.315641538184336
630.6958461866627760.6083076266744480.304153813337224
640.7133071717394620.5733856565210760.286692828260538
650.7616201316648920.4767597366702160.238379868335108
660.7112612350038010.5774775299923980.288738764996199
670.6972489181033630.6055021637932740.302751081896637
680.9053516579801540.1892966840396920.094648342019846
690.8813749970135620.2372500059728760.118625002986438
700.8482401162205610.3035197675588780.151759883779439
710.8707878358283880.2584243283432230.129212164171612
720.8337499856736570.3325000286526850.166250014326343
730.9109821160919570.1780357678160860.0890178839080432
740.8859167742980480.2281664514039040.114083225701952
750.8619342934052130.2761314131895730.138065706594787
760.8496877144424420.3006245711151160.150312285557558
770.8822777284767750.2354445430464500.117722271523225
780.8775571287794610.2448857424410770.122442871220539
790.838561605936660.3228767881266790.161438394063340
800.7998272856517230.4003454286965540.200172714348277
810.7629766903466530.4740466193066940.237023309653347
820.8432393077446640.3135213845106730.156760692255336
830.8580423976561760.2839152046876480.141957602343824
840.8206238086569030.3587523826861930.179376191343097
850.8055363905432860.3889272189134280.194463609456714
860.776764507002210.4464709859955810.223235492997791
870.7201739104465660.5596521791068680.279826089553434
880.6765907856672620.6468184286654770.323409214332738
890.6194160811659730.7611678376680530.380583918834026
900.5826160955416130.8347678089167740.417383904458387
910.5163726239665960.9672547520668070.483627376033404
920.418788608853550.83757721770710.58121139114645
930.5458706028938930.9082587942122150.454129397106107
940.4442332761599020.8884665523198040.555766723840098
950.3350500665319440.6701001330638870.664949933468056
960.3507977279877310.7015954559754610.64920227201227
970.2828482649719870.5656965299439740.717151735028013
980.8216776931346750.3566446137306490.178322306865325


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