Multiple Linear Regression - Estimated Regression Equation
Change[t] = + 0.424397081030911 -0.0175775787246776Size[t] + 0.0436542336017371Complex[t] + 0.134765540998012Big4[t] + 0.203098887510866Product[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.4243970810309110.2419981.75370.0846720.042336
Size-0.01757757872467760.026623-0.66020.5116740.255837
Complex0.04365423360173710.0400581.08980.2802470.140123
Big40.1347655409980120.1838220.73310.4663820.233191
Product0.2030988875108660.1354471.49950.1390820.069541


Multiple Linear Regression - Regression Statistics
Multiple R0.251781016634972
R-squared0.0633936803377403
Adjusted R-squared-0.000105053198684146
F-TEST (value)0.998345585922216
F-TEST (DF numerator)4
F-TEST (DF denominator)59
p-value0.415750762723599
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.497788997416356
Sum Squared Residuals14.6198392709781


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.6471381081995140.352861891800486
210.6178380395495680.382161960450432
300.813255966454081-0.813255966454081
410.5917613846725090.408238615327491
500.427041068383884-0.427041068383884
600.388662497161642-0.388662497161642
710.8302541187588450.169745881241155
810.4094634896592070.590536510340793
900.690792341801252-0.690792341801252
1000.318931608682845-0.318931608682845
1100.45253829684103-0.45253829684103
1210.5214510697737980.478548930226202
1300.524674483546685-0.524674483546685
1410.6386390320471320.361360967952867
1500.432316730763379-0.432316730763379
1600.374308332209851-0.374308332209851
1710.656216610771810.34378338922819
1810.5574243427691820.442575657230818
1910.5044529174690340.495547082530966
2010.5129519936214160.487048006378584
2100.635415618274246-0.635415618274246
2210.7344465754029890.265553424597011
2310.4985978286696250.501402171330375
2410.5481071510707720.451892848929228
2510.6295605294748370.370439470525163
2610.7253680728306930.274631927169307
2710.5137701091674450.486229890832555
2810.4876934542903850.512306545709615
2900.352927913292373-0.352927913292373
3010.7962578141493170.203742185850683
3100.486875338744357-0.486875338744357
3210.4440392206886480.555960779311352
3310.7344465754029890.265553424597011
3400.414739152038702-0.414739152038702
3510.6125623771700730.387437622829927
3610.6992914179536340.300708582046366
3710.8047568903016990.195243109698301
3810.4868753387443570.513124661255643
3910.6471381081995140.352861891800486
4010.5398467640445040.460153235955496
4100.664715686924192-0.664715686924192
4210.380163421009260.61983657899074
4310.5741838059478310.425816194052169
4410.3359297609876090.664070239012391
4500.574183805947831-0.574183805947831
4610.7083699205259290.291630079474071
4710.6732147630765740.326785236923426
4800.522030496193712-0.522030496193712
4900.68229326564887-0.68229326564887
5010.6081801105573590.391819889442641
5110.6022374292107460.397762570789254
5200.542252062271363-0.542252062271363
5300.52284861173974-0.52284861173974
5400.617838039549568-0.617838039549568
5500.664715686924192-0.664715686924192
5610.6471381081995140.352861891800486
5700.638639032047133-0.638639032047133
5800.742945651555371-0.742945651555371
5910.8047568903016990.195243109698301
6000.513770109167445-0.513770109167445
6100.574183805947831-0.574183805947831
6210.6556371843518960.344362815648104
6300.515595980974389-0.515595980974389
6400.531347687892122-0.531347687892122


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.5374533576236040.9250932847527920.462546642376396
90.8082562954429970.3834874091140070.191743704557003
100.7631722982664270.4736554034671450.236827701733573
110.7231568571188680.5536862857622650.276843142881132
120.6308352841818220.7383294316363560.369164715818178
130.7142395567923570.5715208864152870.285760443207643
140.6712148488880190.6575703022239630.328785151111981
150.6077429414136970.7845141171726050.392257058586302
160.5332879906212470.9334240187575060.466712009378753
170.4639205662855290.9278411325710580.536079433714471
180.5819009236491650.8361981527016710.418099076350835
190.5373947988556970.9252104022886060.462605201144303
200.4933786715243470.9867573430486940.506621328475653
210.5694890324763370.8610219350473250.430510967523663
220.5116399890018990.9767200219962030.488360010998101
230.4770753363839870.9541506727679740.522924663616013
240.4457958672453460.8915917344906920.554204132754654
250.3996023805460960.7992047610921910.600397619453904
260.3402466381882720.6804932763765440.659753361811728
270.3605366878341880.7210733756683760.639463312165812
280.3714312496028410.7428624992056820.628568750397159
290.3510963646572580.7021927293145160.648903635342742
300.293082694930290.5861653898605810.70691730506971
310.3012825147097230.6025650294194460.698717485290277
320.315459812384840.6309196247696790.68454018761516
330.2655234306011770.5310468612023550.734476569398823
340.2475141655909690.4950283311819370.752485834409031
350.2403876045962790.4807752091925580.759612395403721
360.2080085588331170.4160171176662340.791991441166883
370.1694767743364590.3389535486729180.830523225663541
380.1811779334481080.3623558668962170.818822066551892
390.1840208245506990.3680416491013970.815979175449301
400.1711533795610410.3423067591220810.828846620438959
410.2021103280222270.4042206560444550.797889671977772
420.241776253816660.483552507633320.75822374618334
430.2510398083424820.5020796166849640.748960191657518
440.475215356677220.9504307133544410.52478464332278
450.4444322464451990.8888644928903980.555567753554801
460.4052066778081710.8104133556163410.594793322191829
470.408527178903690.8170543578073790.59147282109631
480.3493247987236160.6986495974472320.650675201276384
490.3608837074143510.7217674148287020.639116292585649
500.5727279732024320.8545440535951350.427272026797568
510.5685354931165740.8629290137668520.431464506883426
520.4920847981607490.9841695963214980.507915201839251
530.3927792662403830.7855585324807670.607220733759617
540.2962671803941070.5925343607882150.703732819605893
550.2909421475302770.5818842950605540.709057852469723
560.2923814618230070.5847629236460140.707618538176993


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