Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 6.75972454369191 -3.3267423757629X[t] + 0.731410997239706Y1[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.759724543691912.2800582.96470.0041930.002097
X-3.32674237576291.462101-2.27530.0260910.013046
Y10.7314109972397060.0871788.389800


Multiple Linear Regression - Regression Statistics
Multiple R0.89694983314468
R-squared0.804519003178269
Adjusted R-squared0.798683749541799
F-TEST (value)137.872156601751
F-TEST (DF numerator)2
F-TEST (DF denominator)67
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.10564792842612
Sum Squared Residuals646.21828670761


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12926.5078214691642.49217853083602
22727.9706434636434-0.970643463643395
32626.507821469164-0.507821469163974
42425.7764104719243-1.77641047192428
53024.31358847744495.68641152255513
62628.7020544608831-2.7020544608831
72825.77641047192432.22358952807572
82827.23923246640370.76076753359631
92427.2392324664037-3.23923246640369
102324.3135884774449-1.31358847744487
112423.58217748020520.41782251979484
122424.3135884774449-0.313588477444866
132724.31358847744492.68641152255513
142826.5078214691641.49217853083602
152527.2392324664037-2.23923246640369
161925.0449994746846-6.04499947468457
171920.6565334912463-1.65653349124634
181920.6565334912463-1.65653349124634
192020.6565334912463-0.656533491246336
201621.3879444884860-5.38794448848604
212218.46230049952723.53769950047278
222122.8507664829655-1.85076648296545
232522.11935548572572.88064451427425
242925.04499947468463.95500052531543
252827.97064346364340.0293565363566031
262527.2392324664037-2.23923246640369
272625.04499947468460.955000525315428
282425.7764104719243-1.77641047192428
292824.31358847744493.68641152255513
302827.23923246640370.76076753359631
312827.23923246640370.76076753359631
322827.23923246640370.76076753359631
333227.23923246640374.76076753359631
343130.16487645536250.835123544637484
352229.4334654581228-7.43346545812281
362922.85076648296556.14923351703455
373127.97064346364343.0293565363566
382929.4334654581228-0.433465458122809
393227.97064346364344.0293565363566
403230.16487645536251.83512354463748
413130.16487645536250.835123544637484
422929.4334654581228-0.433465458122809
432827.97064346364340.0293565363566031
442827.23923246640370.76076753359631
452927.23923246640371.76076753359631
462227.9706434636434-5.9706434636434
472622.85076648296553.14923351703455
482425.7764104719243-1.77641047192428
492724.31358847744492.68641152255513
502726.5078214691640.492178530836015
512326.507821469164-3.50782146916398
522123.5821774802052-2.58217748020516
531922.1193554857257-3.11935548572575
541720.6565334912463-3.65653349124634
551919.1937114967669-0.193711496766923
562117.32979111548343.67020888451657
571318.7926131099628-5.79261310996285
58812.9413251320452-4.9413251320452
5959.28427014584667-4.28427014584666
60107.090037154127552.90996284587245
61610.7470921403261-4.74709214032608
6267.82144815136725-1.82144815136725
6387.821448151367250.178551848632747
64119.284270145846671.71572985415333
651211.47850313756580.521496862434216
661312.20991413480550.79008586519451
671912.94132513204526.0586748679548
681917.32979111548341.67020888451657
691817.32979111548340.670208884516567
702016.59838011824373.40161988175627


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.4433260817155250.886652163431050.556673918284475
70.2828281772358150.5656563544716290.717171822764185
80.1822801586019850.3645603172039690.817719841398015
90.1879824596329410.3759649192658810.81201754036706
100.3146272670877290.6292545341754580.68537273291227
110.2586827653904920.5173655307809840.741317234609508
120.198237667108330.396475334216660.80176233289167
130.1490472300761970.2980944601523940.850952769923803
140.1116021787970970.2232043575941940.888397821202903
150.08339683733618580.1667936746723720.916603162663814
160.3399587662563210.6799175325126420.660041233743679
170.3389941133077930.6779882266155860.661005886692207
180.2917368146835890.5834736293671790.70826318531641
190.2249172540067860.4498345080135730.775082745993213
200.3402360951672700.6804721903345390.65976390483273
210.3811384214460130.7622768428920250.618861578553987
220.3286647958100210.6573295916200420.671335204189979
230.3215081241066060.6430162482132120.678491875893394
240.3740075612191490.7480151224382980.625992438780851
250.3051899522396400.6103799044792810.69481004776036
260.2668094669137080.5336189338274160.733190533086292
270.215439437665490.430878875330980.78456056233451
280.1777768031710120.3555536063420240.822223196828988
290.1997075035302110.3994150070604210.80029249646979
300.1568169313160290.3136338626320580.843183068683971
310.1202888430293840.2405776860587680.879711156970616
320.09009730903207020.1801946180641400.90990269096793
330.1382017284737990.2764034569475970.861798271526201
340.1047386407102380.2094772814204750.895261359289762
350.3168244081151160.6336488162302310.683175591884884
360.5031833241369440.9936333517261120.496816675863056
370.5049097767360420.9901804465279160.495090223263958
380.4345038711410820.8690077422821640.565496128858918
390.4896515955242340.9793031910484690.510348404475766
400.4493136235064260.8986272470128520.550686376493574
410.3884404620494910.7768809240989820.611559537950509
420.3214761268158460.6429522536316920.678523873184154
430.2612882663832980.5225765327665950.738711733616702
440.2149467986619640.4298935973239270.785053201338036
450.195081330782180.390162661564360.80491866921782
460.3003781554421730.6007563108843450.699621844557827
470.329911319147840.659822638295680.67008868085216
480.2731160299015860.5462320598031720.726883970098414
490.2997633716687340.5995267433374680.700236628331266
500.2655550740955640.5311101481911290.734444925904436
510.2326673161421540.4653346322843090.767332683857846
520.1895316422053220.3790632844106440.810468357794678
530.1587096569098880.3174193138197770.841290343090112
540.1487682574923900.2975365149847790.85123174250761
550.1040011212959770.2080022425919550.895998878704023
560.09761789898875450.1952357979775090.902382101011245
570.2469821739559890.4939643479119790.753017826044011
580.3883503812468650.776700762493730.611649618753135
590.4723308670268670.9446617340537330.527669132973133
600.5011825717697010.9976348564605980.498817428230299
610.7589087651980840.4821824696038320.241091234801916
620.7397019716586510.5205960566826990.260298028341349
630.63630257437060.72739485125880.3636974256294
640.4749557732928560.9499115465857130.525044226707144


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