Multiple Linear Regression - Estimated Regression Equation
T[t] = + 2.72043010752688 + 0.345143662964922outcome[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.720430107526880.11109524.487400
outcome0.3451436629649220.1765191.95530.0523840.026192


Multiple Linear Regression - Regression Statistics
Multiple R0.156636435245916
R-squared0.0245349728465479
Adjusted R-squared0.01811743977317
F-TEST (value)3.82311591791042
F-TEST (DF numerator)1
F-TEST (DF denominator)152
p-value0.0523842858070618
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.07136437764917
Sum Squared Residuals174.468887713732


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
133.0655737704918-0.065573770491802
242.720430107526881.27956989247312
342.720430107526881.27956989247312
442.720430107526881.27956989247312
542.720430107526881.27956989247312
643.06557377049180.934426229508197
742.720430107526881.27956989247312
832.720430107526880.279569892473118
943.06557377049180.934426229508197
1042.720430107526881.27956989247312
1132.720430107526880.279569892473118
1242.720430107526881.27956989247312
1342.720430107526881.27956989247312
1432.720430107526880.279569892473118
1543.06557377049180.934426229508197
1633.0655737704918-0.0655737704918034
1732.720430107526880.279569892473118
1832.720430107526880.279569892473118
1943.06557377049180.934426229508197
2033.0655737704918-0.0655737704918034
2142.720430107526881.27956989247312
2243.06557377049180.934426229508197
2343.06557377049180.934426229508197
2443.06557377049180.934426229508197
2533.0655737704918-0.0655737704918034
2642.720430107526881.27956989247312
2743.06557377049180.934426229508197
2842.720430107526881.27956989247312
2943.06557377049180.934426229508197
3042.720430107526881.27956989247312
3142.720430107526881.27956989247312
3242.720430107526881.27956989247312
3342.720430107526881.27956989247312
3433.0655737704918-0.0655737704918034
3542.720430107526881.27956989247312
3642.720430107526881.27956989247312
3732.720430107526880.279569892473118
3843.06557377049180.934426229508197
3943.06557377049180.934426229508197
4032.720430107526880.279569892473118
4143.06557377049180.934426229508197
4243.06557377049180.934426229508197
4343.06557377049180.934426229508197
4432.720430107526880.279569892473118
4542.720430107526881.27956989247312
4643.06557377049180.934426229508197
4742.720430107526881.27956989247312
4843.06557377049180.934426229508197
4943.06557377049180.934426229508197
5042.720430107526881.27956989247312
5132.720430107526880.279569892473118
5232.720430107526880.279569892473118
5343.06557377049180.934426229508197
5442.720430107526881.27956989247312
5542.720430107526881.27956989247312
5633.0655737704918-0.0655737704918034
5743.06557377049180.934426229508197
5843.06557377049180.934426229508197
5943.06557377049180.934426229508197
6033.0655737704918-0.0655737704918034
6133.0655737704918-0.0655737704918034
6242.720430107526881.27956989247312
6342.720430107526881.27956989247312
6433.0655737704918-0.0655737704918034
6542.720430107526881.27956989247312
6642.720430107526881.27956989247312
6732.720430107526880.279569892473118
6842.720430107526881.27956989247312
6943.06557377049180.934426229508197
7042.720430107526881.27956989247312
7142.720430107526881.27956989247312
7243.06557377049180.934426229508197
7343.06557377049180.934426229508197
7442.720430107526881.27956989247312
7543.06557377049180.934426229508197
7633.0655737704918-0.0655737704918034
7743.06557377049180.934426229508197
7843.06557377049180.934426229508197
7933.0655737704918-0.0655737704918034
8032.720430107526880.279569892473118
8142.720430107526881.27956989247312
8243.06557377049180.934426229508197
8342.720430107526881.27956989247312
8442.720430107526881.27956989247312
8543.06557377049180.934426229508197
8642.720430107526881.27956989247312
8723.0655737704918-1.0655737704918
8813.0655737704918-2.0655737704918
8922.72043010752688-0.720430107526882
9023.0655737704918-1.0655737704918
9122.72043010752688-0.720430107526882
9212.72043010752688-1.72043010752688
9322.72043010752688-0.720430107526882
9422.72043010752688-0.720430107526882
9512.72043010752688-1.72043010752688
9623.0655737704918-1.0655737704918
9712.72043010752688-1.72043010752688
9822.72043010752688-0.720430107526882
9922.72043010752688-0.720430107526882
10023.0655737704918-1.0655737704918
10123.0655737704918-1.0655737704918
10222.72043010752688-0.720430107526882
10322.72043010752688-0.720430107526882
10422.72043010752688-0.720430107526882
10512.72043010752688-1.72043010752688
10622.72043010752688-0.720430107526882
10722.72043010752688-0.720430107526882
10812.72043010752688-1.72043010752688
10922.72043010752688-0.720430107526882
11022.72043010752688-0.720430107526882
11112.72043010752688-1.72043010752688
11212.72043010752688-1.72043010752688
11322.72043010752688-0.720430107526882
11412.72043010752688-1.72043010752688
11522.72043010752688-0.720430107526882
11622.72043010752688-0.720430107526882
11723.0655737704918-1.0655737704918
11822.72043010752688-0.720430107526882
11922.72043010752688-0.720430107526882
12023.0655737704918-1.0655737704918
12122.72043010752688-0.720430107526882
12222.72043010752688-0.720430107526882
12312.72043010752688-1.72043010752688
12423.0655737704918-1.0655737704918
12523.0655737704918-1.0655737704918
12612.72043010752688-1.72043010752688
12722.72043010752688-0.720430107526882
12823.0655737704918-1.0655737704918
12922.72043010752688-0.720430107526882
13023.0655737704918-1.0655737704918
13122.72043010752688-0.720430107526882
13223.0655737704918-1.0655737704918
13322.72043010752688-0.720430107526882
13422.72043010752688-0.720430107526882
13522.72043010752688-0.720430107526882
13622.72043010752688-0.720430107526882
13723.0655737704918-1.0655737704918
13813.0655737704918-2.0655737704918
13912.72043010752688-1.72043010752688
14022.72043010752688-0.720430107526882
14123.0655737704918-1.0655737704918
14213.0655737704918-2.0655737704918
14322.72043010752688-0.720430107526882
14423.0655737704918-1.0655737704918
14522.72043010752688-0.720430107526882
14613.0655737704918-2.0655737704918
14712.72043010752688-1.72043010752688
14812.72043010752688-1.72043010752688
14922.72043010752688-0.720430107526882
15023.0655737704918-1.0655737704918
15123.0655737704918-1.0655737704918
15222.72043010752688-0.720430107526882
15322.72043010752688-0.720430107526882
15422.72043010752688-0.720430107526882


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
5001
60.02094017154585580.04188034309171170.979059828454144
70.005951915860501780.01190383172100360.994048084139498
80.02196479767139980.04392959534279970.9780352023286
90.01225626157476120.02451252314952240.987743738425239
100.005166364488758570.01033272897751710.994833635511241
110.007341373505575560.01468274701115110.992658626494424
120.003555184395191910.007110368790383810.996444815604808
130.001662592447619060.003325184895238120.998337407552381
140.002054403312249440.004108806624498890.997945596687751
150.001042188848039720.002084377696079440.99895781115196
160.0009746404373111290.001949280874622260.999025359562689
170.000940116984384940.001880233968769880.999059883015615
180.0007913565711787020.00158271314235740.999208643428821
190.0004551077851789770.0009102155703579540.999544892214821
200.0003631620283395530.0007263240566791060.99963683797166
210.0002220535616743590.0004441071233487170.999777946438326
220.0001340571699239850.0002681143398479690.999865942830076
237.66805065284728e-050.0001533610130569460.999923319493472
244.21344387429999e-058.42688774859998e-050.999957865561257
253.78164194508935e-057.56328389017869e-050.999962183580549
262.29848244796181e-054.59696489592362e-050.99997701517552
271.3219515224728e-052.6439030449456e-050.999986780484775
287.93349394541533e-061.58669878908307e-050.999992066506055
294.44509209400427e-068.89018418800854e-060.999995554907906
302.64584497988024e-065.29168995976048e-060.99999735415502
311.56437447500693e-063.12874895001385e-060.999998435625525
329.21872556631259e-071.84374511326252e-060.999999078127443
335.43140152212078e-071.08628030442416e-060.999999456859848
345.21532345169542e-071.04306469033908e-060.999999478467655
353.1242637574576e-076.2485275149152e-070.999999687573624
361.88350362248773e-073.76700724497546e-070.999999811649638
372.36874912977628e-074.73749825955256e-070.999999763125087
381.43670308923963e-072.87340617847927e-070.999999856329691
398.55881638075205e-081.71176327615041e-070.999999914411836
409.74193074100039e-081.94838614820008e-070.999999902580693
415.79210069697155e-081.15842013939431e-070.999999942078993
423.41766154548872e-086.83532309097745e-080.999999965823385
432.00905446269995e-084.01810892539989e-080.999999979909455
442.14161173781943e-084.28322347563886e-080.999999978583883
451.57723233496714e-083.15446466993427e-080.999999984227677
469.48067982749078e-091.89613596549816e-080.99999999051932
477.1901204232797e-091.43802408465594e-080.99999999280988
484.40022338718272e-098.80044677436543e-090.999999995599777
492.71909572502418e-095.43819145004836e-090.999999997280904
502.17168049923564e-094.34336099847127e-090.999999997828319
512.53058172610585e-095.0611634522117e-090.999999997469418
522.73165060036823e-095.46330120073645e-090.999999997268349
531.78448842173089e-093.56897684346178e-090.999999998215512
541.64247257302093e-093.28494514604186e-090.999999998357527
551.56999591394952e-093.13999182789904e-090.999999998430004
561.99798634182385e-093.99597268364769e-090.999999998002014
571.45417401587038e-092.90834803174077e-090.999999998545826
581.09046544933962e-092.18093089867925e-090.999999998909535
598.47800328093423e-101.69560065618685e-090.9999999991522
601.1010087811582e-092.20201756231641e-090.999999998898991
611.30348734833596e-092.60697469667192e-090.999999998696513
621.4572663460054e-092.91453269201081e-090.999999998542734
631.72870288649986e-093.45740577299973e-090.999999998271297
641.93874305390957e-093.87748610781915e-090.999999998061257
652.48977504173646e-094.97955008347292e-090.999999997510225
663.45480317560695e-096.9096063512139e-090.999999996545197
674.55010694044934e-099.10021388089868e-090.999999995449893
687.28845007976646e-091.45769001595329e-080.99999999271155
698.40419604601706e-091.68083920920341e-080.999999991595804
701.57421406442861e-083.14842812885721e-080.999999984257859
713.33456532135541e-086.66913064271081e-080.999999966654347
724.71577769614657e-089.43155539229315e-080.999999952842223
737.44046552012702e-081.4880931040254e-070.999999925595345
742.10593164815143e-074.21186329630285e-070.999999789406835
754.12789121866699e-078.25578243733398e-070.999999587210878
765.87427686968311e-071.17485537393662e-060.999999412572313
771.46793429468911e-062.93586858937823e-060.999998532065705
784.50904224191878e-069.01808448383755e-060.999995490957758
797.4734109180979e-061.49468218361958e-050.999992526589082
801.35840202444047e-052.71680404888094e-050.999986415979756
817.06218195065438e-050.0001412436390130880.999929378180493
820.0003567428313864010.0007134856627728030.999643257168614
830.002491648755751090.004983297511502190.997508351244249
840.01970444325198150.03940888650396290.980295556748018
850.1219108444988520.2438216889977040.878089155501148
860.5740813924967580.8518372150064830.425918607503242
870.776086152475410.447827695049180.22391384752459
880.9838188810537410.03236223789251710.0161811189462586
890.993318937438260.01336212512348040.00668106256174019
900.9964739634221110.007052073155777070.00352603657788854
910.9983305805627950.003338838874409690.00166941943720485
920.9998870111303530.0002259777392941910.000112988869647095
930.9999310694031090.0001378611937813116.89305968906553e-05
940.999954477881889.10442362395886e-054.55221181197943e-05
950.9999952605707439.47885851471341e-064.7394292573567e-06
960.9999961045641567.79087168704368e-063.89543584352184e-06
970.9999995087228339.82554334427297e-074.91277167213649e-07
980.9999995188526699.62294661744698e-074.81147330872349e-07
990.9999995081462259.83707549538516e-074.91853774769258e-07
1000.9999994965078811.00698423774624e-065.03492118873121e-07
1010.9999994593325951.0813348095673e-065.40667404783649e-07
1020.9999993954240681.2091518635029e-066.04575931751452e-07
1030.9999993039520341.39209593215365e-066.96047966076824e-07
1040.999999178141751.64371650017177e-068.21858250085883e-07
1050.9999997778418074.44316385259609e-072.22158192629805e-07
1060.9999997061945455.87610909480417e-072.93805454740209e-07
1070.9999996058111067.88377788447543e-073.94188894223772e-07
1080.9999998735014652.52997070554484e-071.26498535277242e-07
1090.9999998134235243.7315295229495e-071.86576476147475e-07
1100.9999997230828355.53834329289113e-072.76917164644557e-07
1110.9999998993377582.01324483481281e-071.00662241740641e-07
1120.999999966042576.79148589707324e-083.39574294853662e-08
1130.9999999406499991.1870000120426e-075.93500006021302e-08
1140.9999999807183513.85632969428222e-081.92816484714111e-08
1150.9999999634314297.31371421258422e-083.65685710629211e-08
1160.9999999309868141.38026371757578e-076.90131858787888e-08
1170.9999998853834632.29233074830297e-071.14616537415148e-07
1180.9999997843069944.31386011251613e-072.15693005625807e-07
1190.9999995975440148.04911971963082e-074.02455985981541e-07
1200.9999993238539561.35229208859647e-066.76146044298233e-07
1210.9999987485140252.50297195039483e-061.25148597519741e-06
1220.9999977118870884.57622582450908e-062.28811291225454e-06
1230.9999988528324522.29433509620146e-061.14716754810073e-06
1240.9999979857692284.02846154482328e-062.01423077241164e-06
1250.9999964966893157.006621369854e-063.503310684927e-06
1260.9999984343808893.13123822245595e-061.56561911122797e-06
1270.9999966446616946.71067661199718e-063.35533830599859e-06
1280.999994027280411.19454391797008e-055.97271958985041e-06
1290.9999874496006362.51007987281216e-051.25503993640608e-05
1300.9999783287076334.33425847333488e-052.16712923666744e-05
1310.9999554495537178.91008925660843e-054.45504462830421e-05
1320.9999262049258130.0001475901483740427.37950741870208e-05
1330.9998518577876830.000296284424633910.000148142212316955
1340.9997100030047510.0005799939904986710.000289996995249335
1350.9994479820997730.001104035800453620.000552017900226811
1360.9989818690007230.002036261998554620.00101813099927731
1370.9984082595743920.003183480851216690.00159174042560835
1380.9984355271947630.003128945610473680.00156447280523684
1390.9987638733754760.00247225324904760.0012361266245238
1400.9974662802397290.005067439520540990.00253371976027049
1410.9956052105743440.008789578851311540.00439478942565577
1420.9959075636853910.008184872629217110.00409243631460856
1430.9916524492554280.01669510148914370.00834755074457187
1440.9838280962997430.03234380740051360.0161719037002568
1450.9692893529061940.06142129418761120.0307106470938056
1460.9776427692122840.04471446157543250.0223572307877163
1470.9829279906390070.03414401872198630.0170720093609932
14813.37849521932786e-631.68924760966393e-63
14911.57459057864381e-497.87295289321903e-50


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1280.882758620689655NOK
5% type I error level1410.972413793103448NOK
10% type I error level1420.979310344827586NOK