Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 690.68970616088 -1.2874820710457X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)690.6897061608855.12337712.529900
X-1.28748207104570.525574-2.44970.0168030.008402


Multiple Linear Regression - Regression Statistics
Multiple R0.280994807358491
R-squared0.0789580817624354
Adjusted R-squared0.0658003400733274
F-TEST (value)6.00088401399433
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value0.016803462470376
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.5369962059785
Sum Squared Residuals109422.184829409


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1519565.288952441026-46.2889524410262
2517565.803945269447-48.8039452694473
3510554.989095872663-44.9890958726634
4509558.465297464487-49.4652974644868
5501564.387714991297-63.387714991297
6507556.147829736605-49.1478297366045
7569578.163773151486-9.16377315148601
8580574.9450679738725.05493202612824
9578549.32417476006228.6758252399377
10565546.87795882507518.1220411749245
11547563.743973955774-16.7439739557742
12555565.932693476552-10.9326934765518
13562568.250161204434-6.25016120443413
14561565.803945269447-4.80394526944728
15555545.590476754039.40952324597023
16544558.207801050278-14.2078010502776
17537565.288952441029-28.288952441029
18543547.264203446389-4.26420344638918
19594578.16377315148615.836226848514
20611566.06144168365644.9385583163436
21613543.78800185456669.2119981454342
22611548.68043372454062.3195662754605
23594556.92031897923237.0796810207681
24595559.88152774263735.1184722573629
25591568.89390223995722.1060977600430
26589567.22017554759821.7798244524025
27584555.89033332239528.1096666776046
28573558.33654925738214.6634507426178
29567564.3877149912972.61228500870298
30569544.04549826877524.9545017312251
31621586.53240661328334.4675933867169
32629567.47767196180761.5223280381933
33628544.94673571850783.053264281493
34612554.34535483714157.6546451628595
35595550.61165683110844.388343168892
36597558.98029029290538.0197097070949
37593563.22898112735629.7710188726441
38590561.04026160657828.9597383934218
39580541.98552695510238.0144730448982
40574561.04026160657812.9597383934218
41573549.19542655295823.8045734470423
42573543.14426081904329.8557391809571
43620580.73873729357739.2612627064226
44626561.29775802078764.7022419792127
45620542.88676440483477.1132355951662
46588540.69804488405647.3019551159439
47566545.33298033982120.6670196601794
48557559.366534914219-2.36653491421878
49561554.2166066300366.78339336996403
50549555.117844079768-6.11784407976797
51532537.736836120651-5.736836120651
52526554.087858422931-28.0878584229314
53511549.967915795585-38.9679157955852
54499539.796807434324-40.7968074343241
55555571.597614589153-16.5976145891529
56565556.5340743579188.46592564208177
57542545.847973168239-3.84797316823891
58527533.101900664886-6.10190066488647
59510544.817987511402-34.8179875114024
60514561.94149905631-47.9414990563102
61517548.165440896121-31.1654408961212
62508545.461728546925-37.4617285469252
63493549.324174760062-56.3241747600623
64490539.66805922722-49.6680592272196
65469550.225412209794-81.2254122097943
66478541.470534126684-63.4705341266835
67528567.091427340493-39.091427340493
68534562.198995470519-28.1989954705193
69518540.311800262742-22.3118002627424
70506541.728030540893-35.7280305408927
71502562.713988298938-60.7139882989376
72516569.280146861271-53.2801468612707


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.0118776918336740.0237553836673480.988122308166326
60.002133215839314940.004266431678629880.997866784160685
70.01213049325450010.02426098650900020.9878695067455
80.01759592148493220.03519184296986440.982404078515068
90.3627398144838580.7254796289677150.637260185516142
100.3876812340900010.7753624681800020.612318765909999
110.2965832691939040.5931665383878080.703416730806096
120.2271180372440820.4542360744881640.772881962755918
130.1761857442448750.3523714884897490.823814255755125
140.1324461511176800.2648923022353610.86755384888232
150.1011746381612870.2023492763225740.898825361838713
160.06679996126198130.1335999225239630.933200038738019
170.04556458645763960.09112917291527920.95443541354236
180.02808011608682310.05616023217364620.971919883913177
190.03417270827467260.06834541654934510.965827291725327
200.07426767083330810.1485353416666160.925732329166692
210.1915437435947630.3830874871895250.808456256405237
220.2786903758437830.5573807516875660.721309624156217
230.2750647713905350.550129542781070.724935228609465
240.2683819012683540.5367638025367090.731618098731646
250.2440685327819550.4881370655639110.755931467218045
260.2142068592761390.4284137185522780.785793140723861
270.1835703922437160.3671407844874320.816429607756284
280.1431296193872480.2862592387744970.856870380612752
290.1065892591298320.2131785182596650.893410740870168
300.0823025741097090.1646051482194180.91769742589029
310.09647909747276240.1929581949455250.903520902527238
320.1493659332861060.2987318665722130.850634066713894
330.2889652310604410.5779304621208820.711034768939559
340.3435167759063760.6870335518127510.656483224093624
350.3488715844481820.6977431688963640.651128415551818
360.3441412996576680.6882825993153350.655858700342332
370.3234161822508340.6468323645016690.676583817749166
380.3033829092742260.6067658185484510.696617090725774
390.2998239102667920.5996478205335850.700176089733208
400.2565766777309160.5131533554618320.743423322269084
410.2326340580881750.4652681161763510.767365941911825
420.224802086382410.449604172764820.77519791361759
430.2925843652339310.5851687304678630.707415634766069
440.5492865390698670.9014269218602650.450713460930133
450.8600552371198410.2798895257603180.139944762880159
460.9494202137291710.1011595725416580.0505797862708288
470.9701895609373980.05962087812520290.0298104390626015
480.9699609025155570.06007819496888620.0300390974844431
490.9788591530725370.04228169385492520.0211408469274626
500.9799219577466870.0401560845066260.020078042253313
510.9813909189503240.03721816209935130.0186090810496757
520.9757303175000820.04853936499983530.0242696824999176
530.9699946973459690.06001060530806250.0300053026540312
540.964455980722840.07108803855431910.0355440192771596
550.9614276193156520.07714476136869530.0385723806843477
560.988286236856730.02342752628653930.0117137631432697
570.9933918094037640.01321638119247150.00660819059623573
580.9961482754597020.00770344908059590.00385172454029795
590.993685481912230.01262903617553950.00631451808776976
600.9884508740505030.02309825189899370.0115491259494969
610.9830657009008220.03386859819835690.0169342990991784
620.9713956212606020.05720875747879640.0286043787393982
630.9522772124336010.0954455751327970.0477227875663985
640.9142497347535840.1715005304928320.0857502652464158
650.960768613830080.07846277233983880.0392313861699194
660.9781677191761330.04366456164773480.0218322808238674
670.9419169416836480.1161661166327040.0580830583163518


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0317460317460317NOK
5% type I error level150.238095238095238NOK
10% type I error level260.412698412698413NOK