Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 51.2642 + 1.4548`X `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)51.26421.33469238.40900
`X `1.45483.2693150.4450.6579860.328993


Multiple Linear Regression - Regression Statistics
Multiple R0.0583300545013329
R-squared0.00340239525812847
Adjusted R-squared-0.0137803220650072
F-TEST (value)0.19801264224648
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.657986088726541
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.43770090720156
Sum Squared Residuals5166.071508


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
147.5451.2642000000001-3.72420000000009
245.3151.2642-5.95419999999999
346.951.2642-4.3642
447.1651.2642-4.1042
548.2451.2642-3.0242
652.751.26421.4358
751.7251.26420.455800000000001
851.551.26420.235800000000002
952.4551.26421.1858
105351.26421.7358
1148.3651.2642-2.9042
1246.6351.2642-4.63419999999999
1345.9251.2642-5.3442
1445.5351.2642-5.7342
1542.1751.2642-9.0942
1643.6651.2642-7.6042
1745.3251.2642-5.9442
1847.4351.2642-3.8342
1947.7651.2642-3.5042
2049.4951.2642-1.7742
2150.6951.2642-0.5742
2249.851.2642-1.4642
2352.1351.26420.865800000000004
2453.9451.26422.6758
2560.7551.26429.4858
2659.1951.26427.9258
2757.5851.26426.3158
2859.1651.26427.8958
2964.7451.264213.4758
3067.0451.264215.7758
3175.5351.264224.2658
3278.9151.264227.6458
3378.451.264227.1358
3470.0751.264218.8058
3566.851.264215.5358
3661.0251.26429.7558
3752.3851.26421.1158
3842.3751.2642-8.8942
3939.8351.2642-11.4342
4038.7951.2642-12.4742
4137.3351.2642-13.9342
4239.451.2642-11.8642
4339.4551.2642-11.8142
4443.2451.2642-8.0242
4542.3351.2642-8.9342
4645.551.2642-5.7642
4743.4451.2642-7.8242
4843.8851.2642-7.3842
4945.6151.2642-5.6542
5045.1251.2642-6.1442
5147.5652.719-5.159
5247.0452.719-5.679
5351.0752.719-1.649
5454.7252.7192.001
5555.3752.7192.651
5655.3952.7192.671
5753.1352.7190.411000000000001
5853.7152.7190.991
5954.5952.7191.871
6054.6152.7191.891


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.002913940528744830.005827881057489670.997086059471255
60.01212551736746740.02425103473493480.987874482632533
70.006143323908198510.0122866478163970.993856676091802
80.002475267213945970.004950534427891950.997524732786054
90.001202507769958110.002405015539916220.998797492230042
100.0006143970823107710.001228794164621540.99938560291769
110.0001801641003683690.0003603282007367380.999819835899632
127.34488299279166e-050.0001468976598558330.999926551170072
133.50670782228352e-057.01341564456703e-050.999964932921777
141.76238949664762e-053.52477899329525e-050.999982376105033
153.51391228209298e-057.02782456418595e-050.99996486087718
162.58075748922336e-055.16151497844673e-050.999974192425108
171.10583733199668e-052.21167466399335e-050.99998894162668
183.46575979911539e-066.93151959823079e-060.9999965342402
191.03910903717346e-062.07821807434693e-060.999998960890963
203.29527734096344e-076.59055468192688e-070.999999670472266
211.25338542425687e-072.50677084851374e-070.999999874661458
223.88051874549753e-087.76103749099507e-080.999999961194812
232.07336826433361e-084.14673652866721e-080.999999979266317
242.08104302735882e-084.16208605471764e-080.99999997918957
257.06431014990399e-071.4128620299808e-060.999999293568985
262.44006662829363e-064.88013325658725e-060.999997559933372
273.12901114481542e-066.25802228963085e-060.999996870988855
285.43945157941561e-061.08789031588312e-050.99999456054842
294.86301616789662e-059.72603233579325e-050.99995136983832
300.0004280028922662060.0008560057845324110.999571997107734
310.01855458477689690.03710916955379380.981445415223103
320.2704190200911980.5408380401823970.729580979908802
330.8371980285330070.3256039429339860.162801971466993
340.9798863734777060.04022725304458770.0201136265222939
350.9995703667082920.0008592665834165650.000429633291708283
360.999998346906393.30618721767932e-061.65309360883966e-06
370.9999999069279451.86144109922944e-079.30720549614718e-08
380.99999977350674.52986597253314e-072.26493298626657e-07
390.9999996103700447.79259911292286e-073.89629955646143e-07
400.9999995293991869.41201628945368e-074.70600814472684e-07
410.9999997816638824.36672236179212e-072.18336118089606e-07
420.9999997488605725.0227885596095e-072.51139427980475e-07
430.9999997790628874.41874225261978e-072.20937112630989e-07
440.9999992077894451.58442111040375e-067.92210555201875e-07
450.9999978393729234.32125415419547e-062.16062707709773e-06
460.9999919187936421.61624127161642e-058.08120635808211e-06
470.999972758814345.44823713198923e-052.72411856599461e-05
480.999909073256540.0001818534869186659.09267434593327e-05
490.9996789586693760.0006420826612478530.000321041330623927
500.998921001392790.002157997214420140.00107899860721007
510.99905354652350.00189290695299830.000946453476499152
520.9999367656780350.0001264686439292246.3234321964612e-05
530.9999805270019193.89459961628984e-051.94729980814492e-05
540.9997818325338330.0004363349323346360.000218167466167318
550.998484971103450.003030057793098980.00151502889654949


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level450.88235294117647NOK
5% type I error level490.96078431372549NOK
10% type I error level490.96078431372549NOK