Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = + 0.130642954856361 -0.00649794801641587Weeks[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1306429548563610.0837061.56070.1206650.060332
Weeks-0.006497948016415870.025588-0.25390.7998820.399941


Multiple Linear Regression - Regression Statistics
Multiple R0.0205932630028783
R-squared0.000424082481105715
Adjusted R-squared-0.00615207487099223
F-TEST (value)0.0644878853104724
F-TEST (DF numerator)1
F-TEST (DF denominator)152
p-value0.79988150983352
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.315362813867401
Sum Squared Residuals15.1169630642955


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.104651162790698-0.104651162790698
200.104651162790698-0.104651162790698
300.104651162790698-0.104651162790698
400.104651162790698-0.104651162790698
500.104651162790698-0.104651162790698
600.104651162790698-0.104651162790698
700.104651162790698-0.104651162790698
800.104651162790698-0.104651162790698
900.104651162790698-0.104651162790698
1000.104651162790698-0.104651162790698
1100.104651162790698-0.104651162790698
1200.104651162790698-0.104651162790698
1300.104651162790698-0.104651162790698
1400.104651162790698-0.104651162790698
1500.104651162790698-0.104651162790698
1600.104651162790698-0.104651162790698
1710.1046511627906980.895348837209302
1800.104651162790698-0.104651162790698
1900.104651162790698-0.104651162790698
2010.1046511627906980.895348837209302
2100.104651162790698-0.104651162790698
2200.104651162790698-0.104651162790698
2300.104651162790698-0.104651162790698
2400.104651162790698-0.104651162790698
2500.104651162790698-0.104651162790698
2600.104651162790698-0.104651162790698
2700.104651162790698-0.104651162790698
2800.104651162790698-0.104651162790698
2900.104651162790698-0.104651162790698
3000.104651162790698-0.104651162790698
3100.104651162790698-0.104651162790698
3200.104651162790698-0.104651162790698
3300.104651162790698-0.104651162790698
3400.104651162790698-0.104651162790698
3500.104651162790698-0.104651162790698
3600.104651162790698-0.104651162790698
3700.104651162790698-0.104651162790698
3800.104651162790698-0.104651162790698
3900.104651162790698-0.104651162790698
4000.104651162790698-0.104651162790698
4110.1046511627906980.895348837209302
4200.104651162790698-0.104651162790698
4300.104651162790698-0.104651162790698
4400.104651162790698-0.104651162790698
4500.104651162790698-0.104651162790698
4600.104651162790698-0.104651162790698
4700.104651162790698-0.104651162790698
4800.104651162790698-0.104651162790698
4900.104651162790698-0.104651162790698
5000.104651162790698-0.104651162790698
5100.104651162790698-0.104651162790698
5210.1046511627906980.895348837209302
5300.104651162790698-0.104651162790698
5410.1046511627906980.895348837209302
5500.104651162790698-0.104651162790698
5600.104651162790698-0.104651162790698
5700.104651162790698-0.104651162790698
5800.104651162790698-0.104651162790698
5900.104651162790698-0.104651162790698
6010.1046511627906980.895348837209302
6100.104651162790698-0.104651162790698
6200.104651162790698-0.104651162790698
6300.104651162790698-0.104651162790698
6400.104651162790698-0.104651162790698
6500.104651162790698-0.104651162790698
6600.104651162790698-0.104651162790698
6710.1046511627906980.895348837209302
6800.104651162790698-0.104651162790698
6900.104651162790698-0.104651162790698
7000.104651162790698-0.104651162790698
7100.104651162790698-0.104651162790698
7200.104651162790698-0.104651162790698
7300.104651162790698-0.104651162790698
7400.104651162790698-0.104651162790698
7500.104651162790698-0.104651162790698
7600.104651162790698-0.104651162790698
7700.104651162790698-0.104651162790698
7800.104651162790698-0.104651162790698
7910.1046511627906980.895348837209302
8000.104651162790698-0.104651162790698
8100.104651162790698-0.104651162790698
8200.104651162790698-0.104651162790698
8300.104651162790698-0.104651162790698
8410.1046511627906980.895348837209302
8500.104651162790698-0.104651162790698
8600.104651162790698-0.104651162790698
8700.117647058823529-0.117647058823529
8800.117647058823529-0.117647058823529
8900.117647058823529-0.117647058823529
9000.117647058823529-0.117647058823529
9100.117647058823529-0.117647058823529
9200.117647058823529-0.117647058823529
9300.117647058823529-0.117647058823529
9400.117647058823529-0.117647058823529
9500.117647058823529-0.117647058823529
9600.117647058823529-0.117647058823529
9700.117647058823529-0.117647058823529
9800.117647058823529-0.117647058823529
9900.117647058823529-0.117647058823529
10000.117647058823529-0.117647058823529
10100.117647058823529-0.117647058823529
10200.117647058823529-0.117647058823529
10300.117647058823529-0.117647058823529
10400.117647058823529-0.117647058823529
10500.117647058823529-0.117647058823529
10600.117647058823529-0.117647058823529
10700.117647058823529-0.117647058823529
10800.117647058823529-0.117647058823529
10900.117647058823529-0.117647058823529
11000.117647058823529-0.117647058823529
11100.117647058823529-0.117647058823529
11200.117647058823529-0.117647058823529
11300.117647058823529-0.117647058823529
11400.117647058823529-0.117647058823529
11500.117647058823529-0.117647058823529
11600.117647058823529-0.117647058823529
11700.117647058823529-0.117647058823529
11800.117647058823529-0.117647058823529
11900.117647058823529-0.117647058823529
12000.117647058823529-0.117647058823529
12100.117647058823529-0.117647058823529
12200.117647058823529-0.117647058823529
12300.117647058823529-0.117647058823529
12410.1176470588235290.882352941176471
12500.117647058823529-0.117647058823529
12600.117647058823529-0.117647058823529
12710.1176470588235290.882352941176471
12800.117647058823529-0.117647058823529
12900.117647058823529-0.117647058823529
13000.117647058823529-0.117647058823529
13100.117647058823529-0.117647058823529
13200.117647058823529-0.117647058823529
13300.117647058823529-0.117647058823529
13400.117647058823529-0.117647058823529
13500.117647058823529-0.117647058823529
13600.117647058823529-0.117647058823529
13710.1176470588235290.882352941176471
13810.1176470588235290.882352941176471
13900.117647058823529-0.117647058823529
14000.117647058823529-0.117647058823529
14100.117647058823529-0.117647058823529
14200.117647058823529-0.117647058823529
14300.117647058823529-0.117647058823529
14410.1176470588235290.882352941176471
14510.1176470588235290.882352941176471
14600.117647058823529-0.117647058823529
14700.117647058823529-0.117647058823529
14800.117647058823529-0.117647058823529
14900.117647058823529-0.117647058823529
15010.1176470588235290.882352941176471
15100.117647058823529-0.117647058823529
15200.117647058823529-0.117647058823529
15310.1176470588235290.882352941176471
15400.117647058823529-0.117647058823529


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
5001
6001
7001
8001
9001
10001
11001
12001
13001
14001
15001
16001
170.1286906691035990.2573813382071970.871309330896401
180.09174907838769460.1834981567753890.908250921612305
190.06377693322325740.1275538664465150.936223066776743
200.5262276553492650.9475446893014690.473772344650735
210.461709959020060.9234199180401190.53829004097994
220.3988676564589050.7977353129178110.601132343541095
230.3391779532439850.678355906487970.660822046756015
240.2838451400794490.5676902801588980.716154859920551
250.2337444760754290.4674889521508570.766255523924571
260.1894036395073260.3788072790146520.810596360492674
270.1510180243044290.3020360486088570.848981975695571
280.1184924042669010.2369848085338020.881507595733099
290.0914995758290260.1829991516580520.908500424170974
300.06954644037385120.1390928807477020.930453559626149
310.05203921651679780.1040784330335960.947960783483202
320.0383415507268950.076683101453790.961658449273105
330.02782168277808520.05564336555617040.972178317221915
340.0198870776814820.03977415536296410.980112922318518
350.01400676368281750.0280135273656350.985993236317182
360.009722879243481580.01944575848696320.990277120756518
370.006653625357575310.01330725071515060.993346374642425
380.004490028120887030.008980056241774070.995509971879113
390.0029887710198790.005977542039757990.997011228980121
400.00196299617261480.00392599234522960.998037003827385
410.06012992618643560.1202598523728710.939870073813564
420.04656459725225080.09312919450450170.953435402747749
430.03563901690192830.07127803380385670.964360983098072
440.02696286414431030.05392572828862060.97303713585569
450.02016750128977470.04033500257954930.979832498710225
460.01491656860197570.02983313720395140.985083431398024
470.0109121808391880.0218243616783760.989087819160812
480.007897425861900430.01579485172380090.9921025741381
490.005655980259281350.01131196051856270.994344019740719
500.004009663178575630.008019326357151260.995990336821424
510.002814677862279770.005629355724559530.99718532213772
520.04783690368791480.09567380737582960.952163096312085
530.03762769538059960.07525539076119910.9623723046194
540.2027944148837030.4055888297674060.797205585116297
550.1732516161391690.3465032322783370.826748383860831
560.146740058679810.293480117359620.85325994132019
570.1232257891159430.2464515782318860.876774210884057
580.1026089816608410.2052179633216810.897391018339159
590.08473621680142170.1694724336028430.915263783198578
600.3058451076037340.6116902152074690.694154892396266
610.2696496025645820.5392992051291630.730350397435418
620.235905097486960.471810194973920.76409490251304
630.2048030023711510.4096060047423020.795196997628849
640.1764587602269170.3529175204538350.823541239773083
650.1509151470880970.3018302941761940.849084852911903
660.128148536504930.256297073009860.87185146349507
670.3760790885741490.7521581771482980.623920911425851
680.3371848643051720.6743697286103440.662815135694828
690.3001702727690370.6003405455380730.699829727230963
700.2653539704694390.5307079409388770.734646029530561
710.2329880255868410.4659760511736820.767011974413159
720.2032549719566560.4065099439133120.796745028043344
730.1762687019669470.3525374039338940.823731298033053
740.1520791581839470.3041583163678940.847920841816053
750.1306807867844980.2613615735689950.869319213215502
760.112024978723440.224049957446880.88797502127656
770.09603752498522210.1920750499704440.903962475014778
780.08264416831686580.1652883366337320.917355831683134
790.2586898426439130.5173796852878270.741310157356087
800.2282987872733570.4565975745467150.771701212726643
810.2014523781364970.4029047562729940.798547621863503
820.1789599325905350.3579198651810710.821040067409465
830.1626392406853130.3252784813706260.837360759314687
840.3993975764986310.7987951529972610.600602423501369
850.3573991010934220.7147982021868440.642600898906578
860.316969481526340.6339389630526790.68303051847366
870.2794645203914370.5589290407828730.720535479608563
880.2443012446510330.4886024893020660.755698755348967
890.2117134381060060.4234268762120120.788286561893994
900.181859333043510.3637186660870210.81814066695649
910.1548225953076240.3096451906152490.845177404692376
920.1306165185186140.2612330370372280.869383481481386
930.1091908904142140.2183817808284280.890809109585786
940.09044087395435020.18088174790870.90955912604565
950.07421718829763240.1484343765952650.925782811702368
960.06033687787339270.1206737557467850.939663122126607
970.04859401380342830.09718802760685660.951405986196572
980.03876976907062410.07753953814124830.961230230929376
990.03064143300749710.06128286601499420.969358566992503
1000.02399006733436780.04798013466873560.976009932665632
1010.01860664168153730.03721328336307470.981393358318463
1020.01429661018097480.02859322036194960.985703389819025
1030.0108829942853470.02176598857069410.989117005714653
1040.008208115782588460.01641623156517690.991791884217411
1050.006134176523379690.01226835304675940.99386582347662
1060.004542908868857830.009085817737715650.995457091131142
1070.0033345265157020.006669053031404010.996665473484298
1080.002426193640897180.004852387281794350.997573806359103
1090.001750206230532130.003500412461064270.998249793769468
1100.001252047924448340.002504095848896690.998747952075552
1110.0008884480756478220.001776896151295640.999111551924352
1120.000625535502941230.001251071005882460.999374464497059
1130.0004371501555176810.0008743003110353620.999562849844482
1140.0003033482046518230.0006066964093036470.999696651795348
1150.0002091146838951620.0004182293677903240.999790885316105
1160.0001432817936593960.0002865635873187920.999856718206341
1179.76399636847629e-050.0001952799273695260.999902360036315
1186.62220220747908e-050.0001324440441495820.999933777977925
1194.47375060523018e-058.94750121046036e-050.999955262493948
1203.01334039818912e-056.02668079637824e-050.999969866596018
1212.02586459474513e-054.05172918949026e-050.999979741354053
1221.36117861314217e-052.72235722628434e-050.999986388213869
1239.15401019388181e-061.83080203877636e-050.999990845989806
1240.0001869111410663990.0003738222821327980.999813088858934
1250.0001294076973970570.0002588153947941150.999870592302603
1268.9532584533046e-050.0001790651690660920.999910467415467
1270.001118978206518790.002237956413037570.998881021793481
1280.0007937152904926380.001587430580985280.999206284709507
1290.0005614421299444250.001122884259888850.999438557870056
1300.0003967993589631660.0007935987179263320.999603200641037
1310.0002808550998107520.0005617101996215040.999719144900189
1320.0001996637004223460.0003993274008446910.999800336299578
1330.0001430825290006080.0002861650580012160.999856917470999
1340.0001038248743988760.0002076497487977520.999896175125601
1357.67198442999158e-050.0001534396885998320.9999232801557
1365.81481707913963e-050.0001162963415827930.999941851829209
1370.0005052066194488590.001010413238897720.999494793380551
1380.00369123582035640.00738247164071280.996308764179644
1390.002652680085897630.005305360171795270.997347319914102
1400.001923333840604720.003846667681209450.998076666159395
1410.001419597604705010.002839195209410020.998580402395295
1420.001080254475834460.002160508951668910.998919745524166
1430.0008631889828477560.001726377965695510.999136811017152
1440.004391384487721580.008782768975443160.995608615512278
1450.02583773208144580.05167546416289170.974162267918554
1460.01719520533019110.03439041066038230.982804794669809
1470.01140342224529050.02280684449058110.988596577754709
1480.007733478423001380.01546695684600280.992266521576999
1490.005659255614206450.01131851122841290.994340744385794


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level560.386206896551724NOK
5% type I error level750.517241379310345NOK
10% type I error level860.593103448275862NOK