Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 23.5437058823530 -2.99995588235294X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)23.54370588235300.68114734.564800
X-2.999955882352941.560704-1.92220.0580560.029028


Multiple Linear Regression - Regression Statistics
Multiple R0.207642873485771
R-squared0.0431155629094279
Adjusted R-squared0.0314462405058843
F-TEST (value)3.69477861853703
F-TEST (DF numerator)1
F-TEST (DF denominator)82
p-value0.0580559022521918
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.61688408882437
Sum Squared Residuals2587.04972311765


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
131.51423.54370588235287.97029411764718
227.07123.54370588235293.52729411764706
329.46223.54370588235295.91829411764706
426.10523.54370588235292.56129411764706
522.39723.5437058823529-1.14670588235294
623.84323.54370588235290.299294117647057
721.70523.5437058823529-1.83870588235294
818.08923.5437058823529-5.45470588235294
920.76423.5437058823529-2.77970588235294
1025.31623.54370588235291.77229411764706
1117.70423.5437058823529-5.83970588235294
1215.54823.5437058823529-7.99570588235294
1328.02923.54370588235294.48529411764706
1429.38323.54370588235295.83929411764706
1536.43823.543705882352912.8942941176471
1632.03423.54370588235298.49029411764706
1722.67923.5437058823529-0.864705882352944
1824.31923.54370588235290.775294117647056
1918.00423.5437058823529-5.53970588235294
2017.53723.5437058823529-6.00670588235294
2120.36623.5437058823529-3.17770588235294
2222.78223.5437058823529-0.761705882352943
2319.16923.5437058823529-4.37470588235294
2413.80723.5437058823529-9.73670588235294
2529.74323.54370588235296.19929411764706
2625.59123.54370588235292.04729411764706
2729.09623.54370588235295.55229411764706
2826.48223.54370588235292.93829411764706
2922.40523.5437058823529-1.13870588235294
3027.04423.54370588235293.50029411764706
3117.9723.5437058823529-5.57370588235294
3218.7323.5437058823529-4.81370588235294
3319.68423.5437058823529-3.85970588235294
3419.78523.5437058823529-3.75870588235294
3518.47923.5437058823529-5.06470588235294
3610.69823.5437058823529-12.8457058823529
3731.95623.54370588235298.41229411764706
3829.50623.54370588235295.96229411764706
3934.50623.543705882352910.9622941176471
4027.16523.54370588235293.62129411764706
4126.73623.54370588235293.19229411764706
4223.69123.54370588235290.147294117647056
4318.15723.5437058823529-5.38670588235294
4417.32823.5437058823529-6.21570588235294
4518.20523.5437058823529-5.33870588235294
4620.99523.5437058823529-2.54870588235294
4717.38223.5437058823529-6.16170588235294
489.36723.5437058823529-14.1767058823529
4931.12423.54370588235297.58029411764706
5026.55123.54370588235293.00729411764706
5130.65123.54370588235297.10729411764706
5225.85923.54370588235292.31529411764706
5325.123.54370588235291.55629411764706
5425.77823.54370588235292.23429411764706
5520.41823.5437058823529-3.12570588235294
5618.68823.5437058823529-4.85570588235294
5720.42423.5437058823529-3.11970588235294
5824.77623.54370588235291.23229411764706
5919.81423.5437058823529-3.72970588235294
6012.73823.5437058823529-10.8057058823529
6131.56623.54370588235298.02229411764706
6230.11123.54370588235296.56729411764706
6330.01923.54370588235296.47529411764706
6431.93423.54370588235298.39029411764706
6525.82623.54370588235292.28229411764706
6626.83523.54370588235293.29129411764706
6720.20523.5437058823529-3.33870588235294
6817.78923.5437058823529-5.75470588235294
6920.5220.54375-0.0237500000000008
7022.51820.543751.97425
7115.57220.54375-4.97175
7211.50920.54375-9.03475
7325.44720.543754.90325
7424.0920.543753.54625
7527.78620.543757.24225
7626.19520.543755.65125
7720.51620.54375-0.0277500000000022
7822.75920.543752.21525
7919.02820.54375-1.51575000000000
8016.97120.54375-3.57275
8120.03620.54375-0.507749999999999
8222.48520.543751.94125
8318.7320.54375-1.81375
8414.53820.54375-6.00575


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.3164659503195030.6329319006390060.683534049680497
60.2259803280835170.4519606561670340.774019671916483
70.2140017058680960.4280034117361910.785998294131904
80.3356307969051010.6712615938102010.6643692030949
90.2851036025563880.5702072051127750.714896397443612
100.1945500974379820.3891001948759650.805449902562018
110.2435223837250410.4870447674500830.756477616274959
120.3554357887368740.7108715774737490.644564211263126
130.3263431361140840.6526862722281680.673656863885916
140.3283823039329690.6567646078659380.671617696067031
150.6382624386596280.7234751226807440.361737561340372
160.6835589652979670.6328820694040670.316441034702033
170.6193481545403590.7613036909192830.380651845459641
180.5424523555739990.9150952888520030.457547644426001
190.5677391071672060.8645217856655890.432260892832794
200.5954079588065460.8091840823869090.404592041193454
210.5516867386645790.8966265226708420.448313261335421
220.4806331104583370.9612662209166750.519366889541663
230.4569238395618020.9138476791236040.543076160438198
240.5951792372698410.8096415254603180.404820762730159
250.6041464841753750.791707031649250.395853515824625
260.5431606799055780.9136786401888430.456839320094422
270.5345489224714590.9309021550570820.465451077528541
280.4815844427835910.9631688855671810.518415557216409
290.4184710027957380.8369420055914760.581528997204262
300.3752034856984240.7504069713968480.624796514301576
310.3779944941740380.7559889883480760.622005505825962
320.3626588531743190.7253177063486370.637341146825682
330.3307108366364440.6614216732728870.669289163363556
340.2981871980101100.5963743960202210.70181280198989
350.2865001083717810.5730002167435620.713499891628219
360.5369331039719520.9261337920560970.463066896028048
370.610591382401060.778817235197880.38940861759894
380.6153333361740990.7693333276518020.384666663825901
390.7637188560520120.4725622878959760.236281143947988
400.7339623397829320.5320753204341360.266037660217068
410.6979836400842140.6040327198315730.302016359915786
420.6406266746128610.7187466507742780.359373325387139
430.6318639228243830.7362721543512350.368136077175617
440.6412153533595150.717569293280970.358784646640485
450.6334652105320580.7330695789358850.366534789467942
460.5846754700540680.8306490598918630.415324529945932
470.5984406080065750.803118783986850.401559391993425
480.8810603060850340.2378793878299330.118939693914966
490.8998282472368660.2003435055262670.100171752763134
500.8751069008143610.2497861983712780.124893099185639
510.8909501112648480.2180997774703040.109049888735152
520.8616587154889570.2766825690220860.138341284511043
530.8237182685718360.3525634628563280.176281731428164
540.7836253330526240.4327493338947520.216374666947376
550.7492706779549010.5014586440901980.250729322045099
560.742481040579640.515037918840720.25751895942036
570.711390260110830.5772194797783390.288609739889170
580.6497810670456730.7004378659086550.350218932954327
590.630805901360160.738388197279680.36919409863984
600.8704157558358550.259168488328290.129584244164145
610.8791418021601590.2417163956796830.120858197839841
620.8727046024508840.2545907950982330.127295397549116
630.8725779873608580.2548440252782830.127422012639142
640.9250553191699220.1498893616601560.0749446808300779
650.9078380738137880.1843238523724240.092161926186212
660.9213658929605670.1572682140788670.0786341070394334
670.890649812444810.2187003751103810.109350187555191
680.8507503179569860.2984993640860280.149249682043014
690.7917764281476860.4164471437046280.208223571852314
700.7295551438302590.5408897123394820.270444856169741
710.7175469637834960.5649060724330070.282453036216504
720.8778465689697240.2443068620605520.122153431030276
730.8639239116115070.2721521767769860.136076088388493
740.8219466531798790.3561066936402420.178053346820121
750.9035982213867740.1928035572264530.0964017786132263
760.9544847546968790.09103049060624280.0455152453031214
770.908505128694060.1829897426118810.0914948713059405
780.8928014798274810.2143970403450380.107198520172519
790.7751515312157290.4496969375685420.224848468784271


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 level10.0133333333333333OK