Multiple Linear Regression - Estimated Regression Equation
CorrectAnalysis[t] = + 0.176470588235294 -0.0588235294117647T20[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1764705882352940.0522133.37980.0012220.000611
T20-0.05882352941176470.104427-0.56330.5751390.287569


Multiple Linear Regression - Regression Statistics
Multiple R0.0691714463866075
R-squared0.00478468899521532
Adjusted R-squared-0.0102943308684935
F-TEST (value)0.317307692307693
F-TEST (DF numerator)1
F-TEST (DF denominator)66
p-value0.575138960716296
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.372877236037654
Sum Squared Residuals9.17647058823529


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.176470588235294-0.176470588235294
200.117647058823529-0.117647058823529
300.176470588235294-0.176470588235294
400.176470588235294-0.176470588235294
510.1764705882352940.823529411764706
600.117647058823529-0.117647058823529
710.1764705882352940.823529411764706
800.176470588235294-0.176470588235294
900.117647058823529-0.117647058823529
1000.176470588235294-0.176470588235294
1100.117647058823529-0.117647058823529
1200.176470588235294-0.176470588235294
1300.176470588235294-0.176470588235294
1400.176470588235294-0.176470588235294
1500.176470588235294-0.176470588235294
1600.176470588235294-0.176470588235294
1700.176470588235294-0.176470588235294
1800.176470588235294-0.176470588235294
1900.117647058823529-0.117647058823529
2000.176470588235294-0.176470588235294
2100.176470588235294-0.176470588235294
2200.117647058823529-0.117647058823529
2300.176470588235294-0.176470588235294
2400.176470588235294-0.176470588235294
2510.1176470588235290.882352941176471
2600.117647058823529-0.117647058823529
2700.176470588235294-0.176470588235294
2800.117647058823529-0.117647058823529
2900.176470588235294-0.176470588235294
3000.176470588235294-0.176470588235294
3100.176470588235294-0.176470588235294
3200.176470588235294-0.176470588235294
3300.176470588235294-0.176470588235294
3400.176470588235294-0.176470588235294
3500.176470588235294-0.176470588235294
3600.176470588235294-0.176470588235294
3700.117647058823529-0.117647058823529
3810.1764705882352940.823529411764706
3900.176470588235294-0.176470588235294
4000.117647058823529-0.117647058823529
4110.1764705882352940.823529411764706
4200.176470588235294-0.176470588235294
4300.176470588235294-0.176470588235294
4400.176470588235294-0.176470588235294
4500.176470588235294-0.176470588235294
4600.176470588235294-0.176470588235294
4700.176470588235294-0.176470588235294
4800.176470588235294-0.176470588235294
4900.176470588235294-0.176470588235294
5000.176470588235294-0.176470588235294
5110.1764705882352940.823529411764706
5210.1176470588235290.882352941176471
5300.117647058823529-0.117647058823529
5400.176470588235294-0.176470588235294
5500.176470588235294-0.176470588235294
5600.117647058823529-0.117647058823529
5700.176470588235294-0.176470588235294
5810.1764705882352940.823529411764706
5910.1764705882352940.823529411764706
6000.117647058823529-0.117647058823529
6100.117647058823529-0.117647058823529
6200.117647058823529-0.117647058823529
6300.176470588235294-0.176470588235294
6410.1764705882352940.823529411764706
6500.176470588235294-0.176470588235294
6600.176470588235294-0.176470588235294
6710.1764705882352940.823529411764706
6800.176470588235294-0.176470588235294


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.8466794215435380.3066411569129250.153320578456462
60.735735319473490.528529361053020.26426468052651
70.8823221500133640.2353556999732720.117677849986636
80.8592762126874350.281447574625130.140723787312565
90.7861988141598530.4276023716802940.213801185840147
100.7451399150915520.5097201698168950.254860084908448
110.6562924549387450.687415090122510.343707545061255
120.6008647880275540.7982704239448910.399135211972446
130.5376545865298740.9246908269402510.462345413470126
140.4702675474573730.9405350949147460.529732452542627
150.4019922355906730.8039844711813450.598007764409327
160.33575625056830.67151250113660.6642437494317
170.2739720449625510.5479440899251030.726027955037449
180.2184053438859860.4368106877719710.781594656114014
190.1629027073037810.3258054146075620.837097292696219
200.1240097091205720.2480194182411450.875990290879428
210.09225385823098220.1845077164619640.907746141769018
220.06412014291609740.1282402858321950.935879857083903
230.04559849285233540.09119698570467080.954401507147665
240.03172653303003690.06345306606007380.968273466969963
250.2144481981796980.4288963963593960.785551801820302
260.1689820337916010.3379640675832020.831017966208399
270.1323287851107020.2646575702214040.867671214889298
280.09981679725928030.1996335945185610.90018320274072
290.07535694467661120.1507138893532220.924643055323389
300.05594633128970180.1118926625794040.944053668710298
310.04087908968323280.08175817936646560.959120910316767
320.02942677679983550.0588535535996710.970573223200164
330.02089376356553060.04178752713106130.979106236434469
340.01465379109704910.02930758219409810.985346208902951
350.01016944409906260.02033888819812510.989830555900937
360.006997920768409120.01399584153681820.993002079231591
370.004415315417118430.008830630834236860.995584684582882
380.03494426336666330.06988852673332660.965055736633337
390.02582585693283590.05165171386567170.974174143067164
400.01759052710021790.03518105420043580.982409472899782
410.07711397995321260.1542279599064250.922886020046787
420.05945714263096920.1189142852619380.940542857369031
430.04539515096459880.09079030192919760.954604849035401
440.03440100479809780.06880200959619570.965598995201902
450.02595702246505660.05191404493011310.974042977534943
460.01958339832334780.03916679664669550.980416601676652
470.01485693358733730.02971386717467450.985143066412663
480.01142136463281930.02284272926563850.988578635367181
490.008991930115694640.01798386023138930.991008069884305
500.007358276160869820.01471655232173960.99264172383913
510.02697952712721350.05395905425442710.973020472872786
520.1440660138408760.2881320276817510.855933986159124
530.1030876080965390.2061752161930780.896912391903461
540.09153233757099030.1830646751419810.90846766242901
550.08617696930085420.1723539386017080.913823030699146
560.05640463203254410.1128092640650880.943595367967456
570.05763866622369360.1152773324473870.942361333776306
580.1092263596758810.2184527193517610.890773640324119
590.2138011858401470.4276023716802940.786198814159853
600.1407237873125650.2814475746251310.859276212687435
610.08414261752602290.1682852350520460.915857382473977
620.04454681758105870.08909363516211740.955453182418941
630.03056311264249180.06112622528498360.969436887357508


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0169491525423729NOK
5% type I error level110.186440677966102NOK
10% type I error level230.389830508474576NOK