Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 25.5892857142857 -12.9892857142857X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)25.58928571428570.5860643.663300
X-12.98928571428571.275045-10.187300


Multiple Linear Regression - Regression Statistics
Multiple R0.775017021114863
R-squared0.600651383017755
Adjusted R-squared0.59486372190207
F-TEST (value)103.781367120818
F-TEST (DF numerator)1
F-TEST (DF denominator)69
p-value2.22044604925031e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.38567095560632
Sum Squared Residuals1327.15357142857


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12725.58928571428571.41071428571430
22925.58928571428573.41071428571429
32725.58928571428571.41071428571429
42625.58928571428570.410714285714286
52425.5892857142857-1.58928571428571
63025.58928571428574.41071428571428
72625.58928571428570.410714285714286
82825.58928571428572.41071428571429
92825.58928571428572.41071428571429
102425.5892857142857-1.58928571428571
112325.5892857142857-2.58928571428571
122425.5892857142857-1.58928571428571
132425.5892857142857-1.58928571428571
142725.58928571428571.41071428571429
152825.58928571428572.41071428571429
162525.5892857142857-0.589285714285714
171925.5892857142857-6.58928571428572
181925.5892857142857-6.58928571428572
191925.5892857142857-6.58928571428572
202025.5892857142857-5.58928571428572
211625.5892857142857-9.58928571428571
222225.5892857142857-3.58928571428571
232125.5892857142857-4.58928571428572
242525.5892857142857-0.589285714285714
252925.58928571428573.41071428571429
262825.58928571428572.41071428571429
272525.5892857142857-0.589285714285714
282625.58928571428570.410714285714286
292425.5892857142857-1.58928571428571
302825.58928571428572.41071428571429
312825.58928571428572.41071428571429
322825.58928571428572.41071428571429
332825.58928571428572.41071428571429
343225.58928571428576.41071428571428
353125.58928571428575.41071428571428
362225.5892857142857-3.58928571428571
372925.58928571428573.41071428571429
383125.58928571428575.41071428571428
392925.58928571428573.41071428571429
403225.58928571428576.41071428571428
413225.58928571428576.41071428571428
423125.58928571428575.41071428571428
432925.58928571428573.41071428571429
442825.58928571428572.41071428571429
452825.58928571428572.41071428571429
462925.58928571428573.41071428571429
472225.5892857142857-3.58928571428571
482625.58928571428570.410714285714286
492425.5892857142857-1.58928571428571
502725.58928571428571.41071428571429
512725.58928571428571.41071428571429
522325.5892857142857-2.58928571428571
532125.5892857142857-4.58928571428572
541925.5892857142857-6.58928571428572
551725.5892857142857-8.58928571428571
561925.5892857142857-6.58928571428572
572112.68.4
581312.60.4
59812.6-4.6
60512.6-7.6
611012.6-2.6
62612.6-6.6
63612.6-6.6
64812.6-4.6
651112.6-1.6
661212.6-0.6
671312.60.4
681912.66.4
691912.66.4
701812.65.4
712012.67.4


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1145106805661580.2290213611323150.885489319433842
60.1096853918897390.2193707837794790.89031460811026
70.05253393565800430.1050678713160090.947466064341996
80.02370477209250810.04740954418501610.976295227907492
90.01006220692808430.02012441385616860.989937793071916
100.01065152045406710.02130304090813420.989348479545933
110.0146708177578640.0293416355157280.985329182242136
120.01033077100449950.02066154200899900.9896692289955
130.006794186899886190.01358837379977240.993205813100114
140.003217969454296190.006435938908592380.996782030545704
150.001819271094464620.003638542188929240.998180728905535
160.0008864352228931640.001772870445786330.999113564777107
170.01035125082965950.02070250165931910.98964874917034
180.03396817830409580.06793635660819160.966031821695904
190.06895906001508130.1379181200301630.931040939984919
200.08733001137076420.1746600227415280.912669988629236
210.2635482982785410.5270965965570820.736451701721459
220.2312849778543620.4625699557087230.768715022145638
230.2229717259911170.4459434519822350.777028274008883
240.1731161779157770.3462323558315540.826883822084223
250.1736098432436040.3472196864872090.826390156756396
260.1524465896909360.3048931793818730.847553410309064
270.1143473711222070.2286947422444130.885652628877794
280.08500345011589890.1700069002317980.914996549884101
290.06263835309002460.1252767061800490.937361646909975
300.05207104721646370.1041420944329270.947928952783536
310.04246441820669140.08492883641338280.957535581793309
320.03398399143859160.06796798287718320.966016008561408
330.02669646376386380.05339292752772770.973303536236136
340.04523434564130800.09046869128261610.954765654358692
350.05585426178762650.1117085235752530.944145738212374
360.04981568769971450.0996313753994290.950184312300286
370.04313092169450510.08626184338901030.956869078305495
380.05177310613890540.1035462122778110.948226893861095
390.04460986562172100.08921973124344190.955390134378279
400.0661225378580170.1322450757160340.933877462141983
410.09709397576000160.1941879515200030.902906024239998
420.1196690676541630.2393381353083260.880330932345837
430.1140343117012420.2280686234024840.885965688298758
440.1000162010658660.2000324021317320.899983798934134
450.09006205630266470.1801241126053290.909937943697335
460.09765315984836960.1953063196967390.90234684015163
470.08063730362587510.1612746072517500.919362696374125
480.06499578129364990.1299915625873000.93500421870635
490.04858819878251750.0971763975650350.951411801217482
500.04699058836988390.09398117673976770.953009411630116
510.0536227549519520.1072455099039040.946377245048048
520.04588825473772770.09177650947545540.954111745262272
530.03996959177753190.07993918355506370.960030408222468
540.03810804107285340.07621608214570680.961891958927147
550.04341643101601520.08683286203203040.956583568983985
560.03690453033693360.07380906067386720.963095469663066
570.06455629083123340.1291125816624670.935443709168767
580.05013263580403310.1002652716080660.949867364195967
590.05268889311380380.1053777862276080.947311106886196
600.09761404432914450.1952280886582890.902385955670856
610.07138312307722890.1427662461544580.928616876922771
620.1179159250796540.2358318501593090.882084074920346
630.2493080322198230.4986160644396460.750691967780177
640.4233018956165620.8466037912331240.576698104383438
650.4984699371649770.9969398743299540.501530062835023
660.6168055906628350.766388818674330.383194409337165


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0483870967741935NOK
5% type I error level100.161290322580645NOK
10% type I error level250.403225806451613NOK