Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = + 0.256251270127548 -0.0811414467212272Used[t] + 0.119858055515931Correctanalysis[t] -0.154643563195883Useful[t] + 0.064242918439258Weeks[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.2562512701275480.2074811.23510.2187530.109377
Used-0.08114144672122720.098001-0.8280.4090130.204506
Correctanalysis0.1198580555159310.1645520.72840.4675180.233759
Useful-0.1546435631958830.093634-1.65160.1007290.050364
Weeks0.0642429184392580.0403011.59410.1130390.05652


Multiple Linear Regression - Regression Statistics
Multiple R0.225989980574527
R-squared0.0510714713200751
Adjusted R-squared0.0255968799461175
F-TEST (value)2.00480041349298
F-TEST (DF numerator)4
F-TEST (DF denominator)149
p-value0.0967327535979984
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.484361537290013
Sum Squared Residuals34.9563087220858


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.3972959894834020.602704010516598
200.397295989483402-0.397295989483402
300.397295989483402-0.397295989483402
400.397295989483402-0.397295989483402
500.397295989483402-0.397295989483402
610.5519395526792840.448060447320716
700.397295989483402-0.397295989483402
800.397295989483402-0.397295989483402
910.3972959894834020.602704010516598
1000.397295989483402-0.397295989483402
1100.397295989483402-0.397295989483402
1200.397295989483402-0.397295989483402
1300.633080999400511-0.633080999400511
1400.397295989483402-0.397295989483402
1510.6330809994005110.366919000599489
1610.6330809994005110.366919000599489
1700.51322294388458-0.51322294388458
1800.397295989483402-0.397295989483402
1910.3972959894834020.602704010516598
2010.513222943884580.48677705611542
2100.551939552679284-0.551939552679284
2210.6330809994005110.366919000599489
2310.5519395526792840.448060447320716
2410.5519395526792840.448060447320716
2510.4784374362046290.521562563795371
2600.633080999400511-0.633080999400511
2710.3972959894834020.602704010516598
2800.478437436204629-0.478437436204629
2910.3972959894834020.602704010516598
3000.551939552679284-0.551939552679284
3100.397295989483402-0.397295989483402
3200.397295989483402-0.397295989483402
3300.551939552679284-0.551939552679284
3410.3972959894834020.602704010516598
3500.397295989483402-0.397295989483402
3600.397295989483402-0.397295989483402
3700.633080999400511-0.633080999400511
3810.4784374362046290.521562563795371
3910.5519395526792840.448060447320716
4000.551939552679284-0.551939552679284
4110.513222943884580.48677705611542
4210.4784374362046290.521562563795371
4310.5519395526792840.448060447320716
4400.397295989483402-0.397295989483402
4500.551939552679284-0.551939552679284
4610.5519395526792840.448060447320716
4700.397295989483402-0.397295989483402
4810.3972959894834020.602704010516598
4910.5519395526792840.448060447320716
5000.397295989483402-0.397295989483402
5100.478437436204629-0.478437436204629
5200.51322294388458-0.51322294388458
5310.3972959894834020.602704010516598
5400.358579380688698-0.358579380688698
5500.397295989483402-0.397295989483402
5610.4784374362046290.521562563795371
5710.6330809994005110.366919000599489
5810.3972959894834020.602704010516598
5910.3972959894834020.602704010516598
6010.513222943884580.48677705611542
6110.3972959894834020.602704010516598
6200.633080999400511-0.633080999400511
6300.397295989483402-0.397295989483402
6410.3972959894834020.602704010516598
6500.397295989483402-0.397295989483402
6600.397295989483402-0.397295989483402
6700.51322294388458-0.51322294388458
6800.397295989483402-0.397295989483402
6910.3972959894834020.602704010516598
7000.478437436204629-0.478437436204629
7100.397295989483402-0.397295989483402
7210.3972959894834020.602704010516598
7310.4784374362046290.521562563795371
7400.478437436204629-0.478437436204629
7510.3972959894834020.602704010516598
7610.5519395526792840.448060447320716
7710.3972959894834020.602704010516598
7810.6330809994005110.366919000599489
7910.3585793806886980.641420619311302
8000.551939552679284-0.551939552679284
8100.397295989483402-0.397295989483402
8210.4784374362046290.521562563795371
8300.397295989483402-0.397295989483402
8400.358579380688698-0.358579380688698
8510.5519395526792840.448060447320716
8600.397295989483402-0.397295989483402
8710.2688101526048860.731189847395114
8810.3499515993261130.650048400673887
8900.268810152604886-0.268810152604886
9010.2688101526048860.731189847395114
9100.423453715800768-0.423453715800768
9200.268810152604886-0.268810152604886
9300.423453715800768-0.423453715800768
9400.268810152604886-0.268810152604886
9500.268810152604886-0.268810152604886
9610.2688101526048860.731189847395114
9700.268810152604886-0.268810152604886
9800.268810152604886-0.268810152604886
9900.268810152604886-0.268810152604886
10010.2688101526048860.731189847395114
10110.2688101526048860.731189847395114
10200.268810152604886-0.268810152604886
10300.268810152604886-0.268810152604886
10400.268810152604886-0.268810152604886
10500.349951599326113-0.349951599326113
10600.268810152604886-0.268810152604886
10700.268810152604886-0.268810152604886
10800.349951599326113-0.349951599326113
10900.268810152604886-0.268810152604886
11000.268810152604886-0.268810152604886
11100.504595162521995-0.504595162521995
11200.268810152604886-0.268810152604886
11300.349951599326113-0.349951599326113
11400.349951599326113-0.349951599326113
11500.268810152604886-0.268810152604886
11600.268810152604886-0.268810152604886
11710.2688101526048860.731189847395114
11800.268810152604886-0.268810152604886
11900.268810152604886-0.268810152604886
12010.2688101526048860.731189847395114
12100.268810152604886-0.268810152604886
12200.268810152604886-0.268810152604886
12300.349951599326113-0.349951599326113
12410.5045951625219950.495404837478005
12510.2688101526048860.731189847395114
12600.268810152604886-0.268810152604886
12700.423453715800768-0.423453715800768
12810.2688101526048860.731189847395114
12900.268810152604886-0.268810152604886
13010.2688101526048860.731189847395114
13100.268810152604886-0.268810152604886
13210.2688101526048860.731189847395114
13300.349951599326113-0.349951599326113
13400.268810152604886-0.268810152604886
13500.268810152604886-0.268810152604886
13600.268810152604886-0.268810152604886
13710.5045951625219950.495404837478005
13810.5045951625219950.495404837478005
13900.268810152604886-0.268810152604886
14000.268810152604886-0.268810152604886
14110.2300935438101810.769906456189819
14210.3499515993261130.650048400673887
14300.268810152604886-0.268810152604886
14410.4234537158007680.576546284199232
14500.423453715800768-0.423453715800768
14610.2688101526048860.731189847395114
14700.349951599326113-0.349951599326113
14800.268810152604886-0.268810152604886
14900.268810152604886-0.268810152604886
15010.4234537158007680.576546284199232
15110.2688101526048860.731189847395114
15200.230093543810181-0.230093543810181
15300.384737107006064-0.384737107006064
15400.349951599326113-0.349951599326113


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6903112129373520.6193775741252960.309688787062648
90.8192447314099570.3615105371800850.180755268590043
100.7389746950595740.5220506098808510.261025304940426
110.6493969797606830.7012060404786350.350603020239317
120.5555450936382680.8889098127234630.444454906361732
130.4538220645303630.9076441290607260.546177935469637
140.3685421739585470.7370843479170950.631457826041453
150.4776843042828190.9553686085656370.522315695717181
160.450136699004710.900273398009420.54986330099529
170.3692975025401260.7385950050802530.630702497459874
180.3031219643306460.6062439286612920.696878035669354
190.4506209905942630.9012419811885250.549379009405737
200.5302004467337340.9395991065325320.469799553266266
210.6025772685301260.7948454629397470.397422731469874
220.556176649351580.8876467012968410.44382335064842
230.5341026653592920.9317946692814150.465897334640708
240.4920976102224160.9841952204448330.507902389777584
250.5313331347186690.9373337305626620.468666865281331
260.6238294564092680.7523410871814640.376170543590732
270.6791798977647880.6416402044704240.320820102235212
280.655152695337340.689694609325320.34484730466266
290.6979727432501830.6040545134996350.302027256749817
300.7194433605624710.5611132788750590.280556639437529
310.6906935185525960.6186129628948090.309306481447404
320.6601021506160240.6797956987679530.339897849383976
330.6667363313917590.6665273372164830.333263668608241
340.7063961045672210.5872077908655570.293603895432779
350.6799173134878290.6401653730243420.320082686512171
360.6522704581005370.6954590837989270.347729541899463
370.6772729730619670.6454540538760670.322727026938033
380.6859472891825280.6281054216349430.314052710817472
390.6887085363546460.6225829272907080.311291463645354
400.6900450391548550.619909921690290.309954960845145
410.6772615105707630.6454769788584750.322738489429237
420.6749894905601930.6500210188796140.325010509439807
430.6797586976892070.6404826046215860.320241302310793
440.6577892097544640.6844215804910720.342210790245536
450.6597179939981850.6805640120036290.340282006001815
460.6617180367662140.6765639264675720.338281963233786
470.640604088588250.71879182282350.35939591141175
480.671330185680330.6573396286393390.32866981431967
490.6674161398141110.6651677203717770.332583860185889
500.6481472044996520.7037055910006960.351852795500348
510.6463534843906870.7072930312186260.353646515609313
520.6585536765296210.6828926469407580.341446323470379
530.6845076016955810.6309847966088380.315492398304419
540.6599467519155910.6801064961688180.340053248084409
550.6432084776785190.7135830446429620.356791522321481
560.6466803364983040.7066393270033920.353319663501696
570.619945458463290.7601090830734210.38005454153671
580.6454535587542260.7090928824915470.354546441245774
590.6683738283909990.6632523432180020.331626171609001
600.6679191675716820.6641616648566350.332080832428318
610.6897685535140630.6204628929718740.310231446485937
620.7177420607220770.5645158785558470.282257939277923
630.703593891528820.5928122169423610.29640610847118
640.7218217526523230.5563564946953530.278178247347677
650.7079160146676580.5841679706646830.292083985332342
660.6947453920269070.6105092159461850.305254607973093
670.7028375602438390.5943248795123230.297162439756161
680.6924317670445190.6151364659109630.307568232955481
690.7073478262940830.5853043474118340.292652173705917
700.7095603713614610.5808792572770790.290439628638539
710.7023909443685070.5952181112629860.297609055631493
720.7140493058033540.5719013883932930.285950694196646
730.71359795541890.5728040891621990.2864020445811
740.7177988904044080.5644022191911830.282201109595592
750.7298907532181530.5402184935636940.270109246781847
760.7183084296039050.5633831407921910.281691570396095
770.7383235899801050.523352820039790.261676410019895
780.7234891386764510.5530217226470970.276510861323549
790.7590969956188780.4818060087622440.240903004381122
800.7595672765484110.4808654469031790.240432723451589
810.7427664358325570.5144671283348860.257233564167443
820.7597476659593130.4805046680813730.240252334040687
830.7381386385247290.5237227229505420.261861361475271
840.7164590983160750.5670818033678490.283540901683925
850.7233756969277050.553248606144590.276624303072295
860.693230189920280.613539620159440.30676981007972
870.7073018194613630.5853963610772730.292698180538637
880.7218140845931910.5563718308136170.278185915406809
890.727231557050010.5455368858999810.27276844294999
900.7527942133291560.4944115733416880.247205786670844
910.7720402509377340.4559194981245310.227959749062266
920.7552683145048890.4894633709902230.244731685495111
930.7635392996498380.4729214007003230.236460700350162
940.7393242516888450.5213514966223110.260675748311155
950.7123889808434150.5752220383131710.287611019156586
960.7594556226378990.4810887547242010.240544377362101
970.7339958747358790.5320082505282430.266004125264121
980.7062760995892330.5874478008215340.293723900410767
990.6766404477343420.6467191045313170.323359552265658
1000.7292793387828820.5414413224342370.270720661217118
1010.7791869521489790.4416260957020430.220813047851021
1020.7533433671622570.4933132656754870.246656632837743
1030.725332598856940.549334802286120.27466740114306
1040.6953824776586470.6092350446827060.304617522341353
1050.6670849888539240.6658300222921520.332915011146076
1060.6334143773628810.7331712452742380.366585622637119
1070.5986571401203140.8026857197593730.401342859879686
1080.5651259970115520.8697480059768950.434874002988448
1090.5285528867889440.9428942264221130.471447113211057
1100.4920560352881120.9841120705762240.507943964711888
1110.5058541123309220.9882917753381570.494145887669078
1120.4685508392927260.9371016785854530.531449160707274
1130.4362075845933340.8724151691866680.563792415406666
1140.4081476894865990.8162953789731970.591852310513401
1150.372362890653990.744725781307980.62763710934601
1160.3384104734920130.6768209469840270.661589526507987
1170.3962446727717990.7924893455435980.603755327228201
1180.3598017477899340.7196034955798680.640198252210066
1190.3254727397402460.6509454794804910.674527260259754
1200.3824662541953280.7649325083906560.617533745804672
1210.345072429977690.6901448599553810.65492757002231
1220.3101714154230670.6203428308461340.689828584576933
1230.290690869732290.5813817394645810.70930913026771
1240.2704706174809960.5409412349619930.729529382519004
1250.3198569671990450.6397139343980910.680143032800955
1260.2835075678263220.5670151356526450.716492432173678
1270.2976993322368170.5953986644736340.702300667763183
1280.3540434472630460.7080868945260930.645956552736954
1290.3130064735667820.6260129471335640.686993526433218
1300.380225606307470.760451212614940.61977439369253
1310.332595400561470.665190801122940.66740459943853
1320.4177041660336930.8354083320673860.582295833966307
1330.390826283019640.781652566039280.60917371698036
1340.3347664316606570.6695328633213130.665233568339343
1350.2832419807024420.5664839614048850.716758019297558
1360.2376164957903570.4752329915807150.762383504209643
1370.1969911874572080.3939823749144150.803008812542792
1380.1724762642810590.3449525285621180.827523735718941
1390.1435706330900870.2871412661801740.856429366909913
1400.1237356636267390.2474713272534790.876264336373261
1410.2170706612712010.4341413225424010.782929338728799
1420.3366271007469860.6732542014939720.663372899253014
1430.3138485476935170.6276970953870330.686151452306483
1440.2782739394529610.5565478789059220.721726060547039
1450.3373120412129080.6746240824258150.662687958787092
1460.3410615187802020.6821230375604030.658938481219798


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