Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 21.5714285714286 -3.18506493506494X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)21.57142857142860.32046667.312700
X-3.185064935064940.409941-7.769600


Multiple Linear Regression - Regression Statistics
Multiple R0.680478106956758
R-squared0.463050454047453
Adjusted R-squared0.455379746248131
F-TEST (value)60.3660660999726
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value4.85240736480819e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.69574661617556
Sum Squared Residuals201.288961038961


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12221.57142857142850.428571428571511
22221.57142857142860.428571428571439
32021.5714285714286-1.57142857142857
42121.5714285714286-0.571428571428575
52021.5714285714286-1.57142857142857
62121.5714285714286-0.571428571428575
72121.5714285714286-0.571428571428575
82121.5714285714286-0.571428571428575
91921.5714285714286-2.57142857142858
102121.5714285714286-0.571428571428575
112121.5714285714286-0.571428571428575
122221.57142857142860.428571428571425
131921.5714285714286-2.57142857142858
142421.57142857142862.42857142857142
152221.57142857142860.428571428571425
162221.57142857142860.428571428571425
172221.57142857142860.428571428571425
182421.57142857142862.42857142857142
192221.57142857142860.428571428571425
202321.57142857142861.42857142857143
212421.57142857142862.42857142857142
222121.5714285714286-0.571428571428575
232021.5714285714286-1.57142857142857
242221.57142857142860.428571428571425
252321.57142857142861.42857142857143
262321.57142857142861.42857142857143
272221.57142857142860.428571428571425
282021.5714285714286-1.57142857142857
292118.38636363636362.61363636363636
302118.38636363636362.61363636363636
312018.38636363636361.61363636363636
322018.38636363636361.61363636363636
331718.3863636363636-1.38636363636364
341818.3863636363636-0.386363636363637
351918.38636363636360.613636363636363
361918.38636363636360.613636363636363
372018.38636363636361.61363636363636
382118.38636363636362.61363636363636
392018.38636363636361.61363636363636
402118.38636363636362.61363636363636
411918.38636363636360.613636363636363
422218.38636363636363.61363636363636
432018.38636363636361.61363636363636
441818.3863636363636-0.386363636363637
451618.3863636363636-2.38636363636364
461718.3863636363636-1.38636363636364
471818.3863636363636-0.386363636363637
481918.38636363636360.613636363636363
491818.3863636363636-0.386363636363637
502018.38636363636361.61363636363636
512118.38636363636362.61363636363636
521818.3863636363636-0.386363636363637
531918.38636363636360.613636363636363
541918.38636363636360.613636363636363
551918.38636363636360.613636363636363
562118.38636363636362.61363636363636
571918.38636363636360.613636363636363
581918.38636363636360.613636363636363
591718.3863636363636-1.38636363636364
601618.3863636363636-2.38636363636364
611618.3863636363636-2.38636363636364
621718.3863636363636-1.38636363636364
631618.3863636363636-2.38636363636364
641518.3863636363636-3.38636363636364
651618.3863636363636-2.38636363636364
661618.3863636363636-2.38636363636364
671618.3863636363636-2.38636363636364
681818.3863636363636-0.386363636363637
691918.38636363636360.613636363636363
701618.3863636363636-2.38636363636364
711618.3863636363636-2.38636363636364
721618.3863636363636-2.38636363636364


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.2774767929832130.5549535859664260.722523207016787
60.1422013633552410.2844027267104830.857798636644759
70.0665595880358580.1331191760717160.933440411964142
80.02879250795346310.05758501590692610.971207492046537
90.07557868379608710.1511573675921740.924421316203913
100.04025668343391670.08051336686783330.959743316566083
110.02041927471508910.04083854943017820.97958072528491
120.01719981600012880.03439963200025760.982800183999871
130.03666149301508810.07332298603017620.963338506984912
140.1698902351343150.3397804702686300.830109764865685
150.1331015889910730.2662031779821460.866898411008927
160.1013070157863410.2026140315726820.898692984213659
170.07494251165384950.1498850233076990.92505748834615
180.1509567923889040.3019135847778080.849043207611096
190.1119651682807260.2239303365614520.888034831719274
200.1080092880374060.2160185760748120.891990711962594
210.1640567660569220.3281135321138440.835943233943078
220.1244395575406130.2488791150812270.875560442459387
230.1220464956284970.2440929912569940.877953504371503
240.08952889707149470.1790577941429890.910471102928505
250.0819304306074180.1638608612148360.918069569392582
260.07662179390261660.1532435878052330.923378206097383
270.05783259236856810.1156651847371360.942167407631432
280.05227084137555970.1045416827511190.94772915862444
290.04640426441941760.09280852883883520.953595735580582
300.04248779210661120.08497558421322230.95751220789339
310.03547373449102460.07094746898204910.964526265508975
320.02868857089942120.05737714179884230.971311429100579
330.05810757130010360.1162151426002070.941892428699896
340.05190852289687020.1038170457937400.94809147710313
350.0376129527329190.0752259054658380.962387047267081
360.0266447154490610.0532894308981220.97335528455094
370.02197259988532130.04394519977064260.978027400114679
380.02927661593538040.05855323187076080.97072338406462
390.02508518950595910.05017037901191830.974914810494041
400.03551947381987490.07103894763974980.964480526180125
410.02738951840993970.05477903681987940.97261048159006
420.09186169689174390.1837233937834880.908138303108256
430.09591812355567070.1918362471113410.90408187644433
440.08819714226004260.1763942845200850.911802857739957
450.1643551554849490.3287103109698990.83564484451505
460.1698564889177960.3397129778355920.830143511082204
470.1404906651504580.2809813303009170.859509334849542
480.1177850237712290.2355700475424580.882214976228771
490.09376885376823730.1875377075364750.906231146231763
500.1067687745941080.2135375491882160.893231225405892
510.2235209570775800.4470419141551590.77647904292242
520.1883671454792480.3767342909584960.811632854520752
530.1794601021603190.3589202043206370.820539897839681
540.1767837703279250.353567540655850.823216229672075
550.1821058943124420.3642117886248830.817894105687558
560.5786785458557520.8426429082884960.421321454144248
570.696593108192820.6068137836143610.303406891807181
580.8535819634381070.2928360731237850.146418036561893
590.8266608660263350.3466782679473290.173339133973665
600.8053225480377410.3893549039245180.194677451962259
610.7723479445550130.4553041108899750.227652055444987
620.7116618838890780.5766762322218430.288338116110922
630.6492370788515460.7015258422969070.350762921148454
640.7028921192395150.5942157615209710.297107880760485
650.6220375422800220.7559249154399570.377962457719978
660.5268999333878570.9462001332242860.473100066612143
670.4217464629751930.8434929259503860.578253537024807


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0476190476190476OK
10% type I error level160.253968253968254NOK