Multiple Linear Regression - Estimated Regression Equation
Totaal[t] = + 0.113719058331954 + 0.99997848371174InbrengInContanten[t] + 1.0000014820019InbrengInNatura[t] + 1.00004763333244TeStortenBedrag[t] + 1.00003375616826ConversieVanEigenMiddelen[t] + 1.00002314602471Schuldconversie[t] + 1.00005887310229Uitgiftepremies[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1137190583319540.0981151.1590.2488650.124432
InbrengInContanten0.999978483711743.2e-0531551.920700
InbrengInNatura1.00000148200199e-06117344.002300
TeStortenBedrag1.000047633332440.0001287798.830900
ConversieVanEigenMiddelen1.000033756168265.9e-0516848.468500
Schuldconversie1.000023146024716.3e-0515993.82800
Uitgiftepremies1.000058873102294.5e-0522203.754700


Multiple Linear Regression - Regression Statistics
Multiple R0.999999998382432
R-squared0.999999996764863
Adjusted R-squared0.999999996594593
F-TEST (value)5873013062.54724
F-TEST (DF numerator)6
F-TEST (DF denominator)114
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.781240699952969
Sum Squared Residuals69.5784215639825


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162176217.10975798665-0.10975798664683
258845884.10592255491-0.105922554908011
314311431.11162829387-0.111628293871351
426102610.11911868864-0.119118688642184
533953395.08970734624-0.089707346237321
61413514135.1258938542-0.12589385423096
786118612.09971517869-1.09971517868738
8255255.11369703256-0.11369703255969
917221722.12998688938-0.129986889384492
1037363738.13023504631-2.13023504630776
1122412241.16504659998-0.165046599975366
1218711870.11014051550.889859484503326
1369116910.17137653050.828623469495903
1415151514.114618377360.885381622640678
1522892289.16587450021-0.165874500213888
1612991299.11406522236-0.114065222363865
17774774.118536478719-0.118536478718796
1894859485.0820894738-0.0820894737971904
1921072107.13741058297-0.137410582966608
2017201721.11583785657-1.11583785657256
2126432642.092318245640.907681754359272
221210612105.27028059140.729719408611177
23962962.114499570507-0.114499570507187
2423092308.123548949720.876451050276446
2570837083.11524028546-0.115240285463194
2648954895.3084389199-0.308438919900837
2752565254.123054357841.87694564216329
2838563856.1972213336-0.19722133359773
2937423742.11573939957-0.115739399567523
302369223691.97299387160.0270061283938726
3131983198.20829374825-0.20829374825295
3219931993.13336922553-0.133369225532465
3354425441.176592088030.823407911967795
3422452245.16378396008-0.163783960078196
3512391238.122231540710.877768459285452
3663886387.225929033130.774070966866461
3716791679.13683308557-0.136833085568448
38830829.1348981514140.86510184858592
3925052505.12694180887-0.126941808874056
4043874386.161485057290.838514942709365
4121622161.10786156670.892138433304738
421199311994.0695877972-1.06958779720774
431886418863.20432890180.795671098153827
4419791979.08716859008-0.0871685900752904
451922019219.89946747910.100532520861926
4644104411.09196674567-1.09196674567168
4769426942.07571236231-0.0757123623143102
4877627761.082485754330.917514245665523
491781417815.2111885391-1.21118853909986
5025232523.09549127692-0.0954912769209539
511258612586.1104787933-0.110478793344296
5222442244.10976683245-0.109766832451856
5379317932.10065543365-1.10065543365057
541572015720.3071370028-0.30713700276309
5530293029.14775749016-0.147757490157533
5682178217.38377017964-0.383770179642985
571434614345.15002498240.849975017578366
5879447944.03573484295-0.0357348429454609
5967456746.10490733654-1.10490733653557
601065010652.2641126925-2.26411269251913
611768217682.3889510099-0.388951009859723
6267896790.00410272385-1.00410272384827
631010910110.1378011008-1.13780110079218
641198111980.20122394420.798776055821596
652425924260.2334983159-1.23349831588248
666874468743.89451775940.105482240648479
678505685055.41396941520.586030584829152
6831343134.1024421752-0.102442175200889
6967516750.180001491080.819998508920079
7070987098.21082741114-0.210827411141893
7161426142.10749562509-0.107495625090606
7239743974.19312311592-0.193123115917413
731461414615.1305178063-1.13051780628397
741343813438.3363493517-0.336349351734933
7597469746.07435162729-0.0743516272944019
762302423023.31680907470.683190925322544
771210212101.30503580770.694964192307168
784105641056.610533718-0.61053371803345
7924952495.17405568958-0.174055689576483
8070567056.12907610286-0.129076102857731
8177087707.288277683790.711722316206258
8282298229.23305372855-0.233053728551458
8347144713.201209075240.798790924760262
841431714317.2118603498-0.211860349752719
8552675266.193150348040.806849651957551
8640874087.04203423487-0.0420342348658024
8738233821.201079270621.79892072937863
8821372136.097681761160.902318238835494
8942414240.123637722230.876362277771721
901365413654.2280420705-0.228042070510236
9119131912.102479372240.897520627757615
9223802380.08970193017-0.0897019301724152
9352235222.122115771860.877884228136172
9423372338.08287033305-1.08287033305451
951003110031.3388086883-0.338808688328823
9645884586.122050354541.87794964546052
9794799478.097132449110.902867550891195
981817118171.1114448074-0.111444807361119
991401514015.1355187982-0.13551879820703
10049194920.1782235504-1.17822355039967
10145734572.192194739760.807805260243089
1028225782256.3115631150.688436884976917
10323752374.170276867470.829723132527702
10437723771.139191419790.860808580207191
10539543953.191069450990.808930549007888
10648614862.21464663205-1.21464663205086
10726522653.17436734201-1.17436734200686
1081352713527.2629122054-0.262912205444696
1092803928039.3263437501-0.326343750091839
11028742873.177932725870.822067274132537
1111115211152.150764282-0.150764282001442
11227272726.167798044830.832201955169342
11330563057.12873145707-1.12873145706972
1144720147201.4272761946-0.427276194606556
11523702371.13546046343-1.13546046342823
11624392439.09065690674-0.0906569067422832
1171048410484.0922503489-0.0922503488881437
11831073107.13496981609-0.134969816088527
1191493114930.54535725680.454642743245617
12089298929.37846355966-0.378463559663984
12138143815.14876102241-1.14876102240952


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4075783587132050.8151567174264090.592421641286795
110.2964178586804720.5928357173609440.703582141319528
120.2886040788693030.5772081577386060.711395921130697
130.2225780307973070.4451560615946140.777421969202693
140.3793522283267670.7587044566535330.620647771673233
150.2973587966742460.5947175933484920.702641203325754
160.2292029722258090.4584059444516190.770797027774191
170.1585863692451520.3171727384903050.841413630754848
180.1214200002429220.2428400004858440.878579999757078
190.08300132732330320.1660026546466060.916998672676697
200.122821777462090.245643554924180.87717822253791
210.1654683940311480.3309367880622960.834531605968852
220.1245811235657090.2491622471314180.875418876434291
230.09125524067324480.182510481346490.908744759326755
240.08378952514234880.1675790502846980.916210474857651
250.06050221758266270.1210044351653250.939497782417337
260.04195488385915510.08390976771831010.958045116140845
270.0381800211659920.07636004233198390.961819978834008
280.02616697399156050.0523339479831210.973833026008439
290.01759910736800320.03519821473600640.982400892631997
300.07671155812355510.153423116247110.923288441876445
310.05469144385597910.1093828877119580.945308556144021
320.04532575837016760.09065151674033520.954674241629832
330.04552790539490090.09105581078980180.954472094605099
340.03348369957860960.06696739915721920.96651630042139
350.04310939590816480.08621879181632960.956890604091835
360.08425057918558880.1685011583711780.915749420814411
370.06227886150942810.1245577230188560.937721138490572
380.07638119873961830.1527623974792370.923618801260382
390.07482177252849060.1496435450569810.925178227471509
400.07500240860511820.1500048172102360.924997591394882
410.08581535423637040.1716307084727410.91418464576363
420.1194259204467030.2388518408934060.880574079553297
430.1000538792577750.2001077585155510.899946120742224
440.07810073946699960.1562014789339990.921899260533
450.08424773593421030.1684954718684210.91575226406579
460.1165406053852650.233081210770530.883459394614735
470.09281070306517720.1856214061303540.907189296934823
480.1092255724690440.2184511449380890.890774427530956
490.1216863057270290.2433726114540580.878313694272971
500.09633714266553840.1926742853310770.903662857334462
510.07449896557880330.1489979311576070.925501034421197
520.05697422900135610.1139484580027120.943025770998644
530.09271282667630710.1854256533526140.907287173323693
540.07293972700370930.1458794540074190.927060272996291
550.05567328195810150.1113465639162030.944326718041898
560.04570204732666210.09140409465332420.954297952673338
570.04203152663942370.08406305327884740.957968473360576
580.03220898412359950.0644179682471990.9677910158764
590.04173918718709470.08347837437418950.958260812812905
600.263721746616620.5274434932332410.73627825338338
610.2331667591808010.4663335183616020.766833240819199
620.2757122884478760.5514245768957520.724287711552124
630.3203450105456020.6406900210912040.679654989454398
640.321921111511750.6438422230234990.67807888848825
650.3662089357782720.7324178715565440.633791064221728
660.3724405985286370.7448811970572740.627559401471363
670.4496248072281980.8992496144563970.550375192771802
680.3975075498480660.7950150996961320.602492450151934
690.4004790701684310.8009581403368620.599520929831569
700.3517974789393030.7035949578786050.648202521060697
710.30420583882160.60841167764320.6957941611784
720.2626736395494370.5253472790988750.737326360450563
730.306236380616910.612472761233820.69376361938309
740.2872750624231010.5745501248462010.712724937576899
750.2440573809712610.4881147619425220.755942619028739
760.2602494854583810.5204989709167610.739750514541619
770.2525761787509240.5051523575018490.747423821249076
780.2259496279116680.4518992558233350.774050372088332
790.1910632021556370.3821264043112750.808936797844363
800.156722949320710.3134458986414210.84327705067929
810.1376791992506970.2753583985013940.862320800749303
820.1168374996140820.2336749992281630.883162500385918
830.107005867697390.214011735394780.89299413230261
840.08482567202017340.1696513440403470.915174327979827
850.07945755431857180.1589151086371440.920542445681428
860.06025900978814480.120518019576290.939740990211855
870.150753219950980.301506439901960.84924678004902
880.1522568847422810.3045137694845610.847743115257719
890.157626482569650.3152529651392990.84237351743035
900.1263668388488870.2527336776977750.873633161151113
910.1326067785831840.2652135571663690.867393221416816
920.1007017773583630.2014035547167250.899298222641637
930.1062967991441560.2125935982883120.893703200855844
940.124643718514750.24928743702950.87535628148525
950.09535692384961030.1907138476992210.90464307615039
960.3632736442140350.7265472884280710.636726355785965
970.3802662030516330.7605324061032670.619733796948367
980.3454551480092760.6909102960185510.654544851990724
990.3408988538837920.6817977077675830.659101146116208
1000.4165351698543340.8330703397086690.583464830145666
1010.391198222717380.782396445434760.60880177728262
1020.3360267990854450.672053598170890.663973200914555
1030.3381529583773680.6763059167547350.661847041622633
1040.3567175656299060.7134351312598120.643282434370094
1050.4629095927368180.9258191854736350.537090407263182
1060.519328403808670.9613431923826610.48067159619133
1070.6551216754514270.6897566490971460.344878324548573
1080.5659947598752790.8680104802494410.434005240124721
1090.5333102334885270.9333795330229460.466689766511473
1100.4603787476567920.9207574953135830.539621252343208
1110.3106368784692770.6212737569385550.689363121530723


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00980392156862745OK
10% type I error level120.117647058823529NOK