Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 3791.19876810686 -178.053949041165X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3791.19876810686417.4352759.082100
X-178.05394904116552.699633-3.37870.0012350.000617


Multiple Linear Regression - Regression Statistics
Multiple R0.386503833591849
R-squared0.149385213381196
Adjusted R-squared0.136298832048599
F-TEST (value)11.4153186877636
F-TEST (DF numerator)1
F-TEST (DF denominator)65
p-value0.00123499670928240
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation304.304156916877
Sum Squared Residuals6019066.29459793


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
123602348.9617808734311.0382191265750
222142473.59954520224-259.599545202241
328252491.40494010636333.595059893642
423552420.18336048989-65.1833604898924
523332366.76717577754-33.767175777543
630162366.76717577754649.232824222457
721552420.18336048989-265.183360489892
821722562.62651972282-390.626519722824
921502616.04270443517-466.042704435174
1025332562.62651972282-29.6265197228241
1120582455.79415029813-397.794150298125
1221602384.57257068166-224.572570681659
1322602420.18336048989-160.183360489892
1424982633.84809933929-135.84809933929
1526952705.06967895576-10.0696789557560
1627992651.65349424341147.346505756594
1729472580.43191462694366.568085373059
1829302527.01572991459402.984270085409
1923182491.40494010636-173.404940106358
2025402509.2103350104730.7896649895253
2125702544.8211248187125.1788751812923
2226692544.82112481871124.178875181292
2324502544.82112481871-94.8211248187077
2428422491.40494010636350.595059893642
2534402455.79415029813984.205849701875
2626782509.21033501047168.789664989525
2729812420.18336048989560.816639510108
2822602366.76717577754-106.767175777543
2928442384.57257068166459.427429318341
3025462366.76717577754179.232824222457
3124562366.7671757775489.232824222457
3222952384.57257068166-89.5725706816594
3323792384.57257068166-5.57257068165945
3424792366.76717577754112.232824222457
3520572348.96178087343-291.961780873427
3622802348.96178087343-68.9617808734266
3723512331.1563859693119.8436140306898
3822762366.76717577754-90.767175777543
3925482313.35099106519234.649008934806
4023112277.7402012569633.2597987430393
4122012259.93480635284-58.9348063528443
4227252242.12941144873482.870588551272
4324082242.12941144873165.870588551272
4421392277.74020125696-138.740201256961
4518982295.54559616108-397.545596161077
4625372277.74020125696259.259798743039
4720692242.12941144873-173.129411448728
4820632242.12941144873-179.129411448728
4925242259.93480635284264.065193647156
5024372384.5725706816652.4274293183406
5121892348.96178087343-159.961780873427
5227932331.15638596931461.84361403069
5320742277.74020125696-203.740201256961
5426222259.93480635284362.065193647156
5522782277.740201256960.259798743039279
5621442313.35099106519-169.350991065194
5724272331.1563859693195.8436140306898
5821392242.12941144873-103.129411448728
5918282135.29704202403-307.297042024029
6020722135.29704202403-63.2970420240289
6118002224.32401654461-424.324016544611
6217582473.59954520224-715.599545202242
6322462509.21033501047-263.210335010475
6419872455.79415029813-468.794150298125
6518682313.35099106519-445.350991065194
6625142224.32401654461289.675983455389
6721212206.51862164049-85.5186216404948


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.3859898358158130.7719796716316270.614010164184187
60.7613641514012560.4772716971974880.238635848598744
70.7525010840155030.4949978319689940.247498915984497
80.6884201487041970.6231597025916060.311579851295803
90.6126833411163450.774633317767310.387316658883655
100.5629463763194860.8741072473610270.437053623680514
110.5989336962403010.8021326075193980.401066303759699
120.5732864921836480.8534270156327040.426713507816352
130.4948700066521380.9897400133042750.505129993347862
140.4500493258074180.9000986516148370.549950674192582
150.4454237344239360.8908474688478720.554576265576064
160.4427553793903510.8855107587807010.557244620609649
170.5237749821248990.9524500357502020.476225017875101
180.5946022028078390.8107955943843210.405397797192161
190.5368332251731950.926333549653610.463166774826805
200.4590644710635620.9181289421271230.540935528936438
210.3838967839184560.7677935678369120.616103216081544
220.3248544604782920.6497089209565840.675145539521708
230.2662544850111460.5325089700222920.733745514988854
240.2853028551441740.5706057102883490.714697144855826
250.856562482813660.2868750343726790.143437517186340
260.8286671891195980.3426656217608050.171332810880402
270.9151934042613160.1696131914773690.0848065957386843
280.8921369764934390.2157260470131220.107863023506561
290.9323645746199070.1352708507601860.0676354253800932
300.9198025427079630.1603949145840740.0801974572920371
310.8982475620034550.2035048759930910.101752437996545
320.8708440764104510.2583118471790970.129155923589548
330.8367318353586150.3265363292827710.163268164641385
340.808152895969860.3836942080602790.191847104030140
350.8054104196667080.3891791606665830.194589580333292
360.7582420166106030.4835159667787940.241757983389397
370.7047706836102650.590458632779470.295229316389735
380.6471937841051620.7056124317896750.352806215894838
390.6351259784841010.7297480430317980.364874021515899
400.5691464143413940.8617071713172110.430853585658606
410.5020501109597060.9958997780805880.497949889040294
420.6147684006494990.7704631987010030.385231599350501
430.5687096061867440.8625807876265120.431290393813256
440.5113497123176530.9773005753646930.488650287682347
450.5496520168583410.9006959662833170.450347983141659
460.5531591708854850.893681658229030.446840829114515
470.4983322012947530.9966644025895060.501667798705247
480.4428368183145470.8856736366290930.557163181685453
490.4453319644135690.8906639288271370.554668035586431
500.4071039310165570.8142078620331140.592896068983443
510.3361988177052990.6723976354105980.663801182294701
520.6118096043290980.7763807913418040.388190395670902
530.5376070534407720.9247858931184570.462392946559228
540.7101720423710770.5796559152578460.289827957628923
550.6597800981981950.6804398036036090.340219901801805
560.5736808669158220.8526382661683560.426319133084178
570.6415593789241080.7168812421517840.358440621075892
580.5470366232705030.9059267534589940.452963376729497
590.5212840794862340.9574318410275320.478715920513766
600.3929268579106590.7858537158213180.607073142089341
610.448455843901050.89691168780210.55154415609895
620.4659901635031340.9319803270062670.534009836496866


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