Multiple Linear Regression - Estimated Regression Equation
Bakmeel[t] = + 0.792598684210527 -0.120131578947369Dummy[t] + 0.00148026315789534M1[t] -0.00251973684210528M2[t] -0.00851973684210531M3[t] -0.0125197368421053M4[t] -0.0145197368421053M5[t] + 0.00950657894736838M6[t] -0.00249342105263159M7[t] -0.000493421052631561M8[t] + 0.0125M9[t] + 0.00499999999999997M10[t] + 0.00499999999999997M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.7925986842105270.0642412.338100
Dummy-0.1201315789473690.034775-3.45450.0012520.000626
M10.001480263157895340.0789370.01880.9851250.492563
M2-0.002519736842105280.078937-0.03190.9746830.487341
M3-0.008519736842105310.078937-0.10790.9145520.457276
M4-0.01251973684210530.078937-0.15860.8747230.437361
M5-0.01451973684210530.078937-0.18390.8549240.427462
M60.009506578947368380.0787830.12070.9045160.452258
M7-0.002493421052631590.078783-0.03160.9748980.487449
M8-0.0004934210526315610.078783-0.00630.9950320.497516
M90.01250.0830250.15060.8810290.440514
M100.004999999999999970.0830250.06020.9522570.476128
M110.004999999999999970.0830250.06020.9522570.476128


Multiple Linear Regression - Regression Statistics
Multiple R0.470063994309785
R-squared0.22096015874647
Adjusted R-squared0.00355369141990347
F-TEST (value)1.01634584041406
F-TEST (DF numerator)12
F-TEST (DF denominator)43
p-value0.451409060296931
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.117414471853918
Sum Squared Residuals0.592804802631579


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.810.7940789473684190.0159210526315815
20.810.790078947368420.0199210526315791
30.810.7840789473684210.0259210526315789
40.790.7800789473684210.00992105263157892
50.780.7780789473684210.00192105263157879
60.780.802105263157895-0.0221052631578949
70.770.790105263157895-0.0201052631578949
80.780.792105263157895-0.0121052631578949
90.770.805098684210526-0.0350986842105264
100.780.797598684210526-0.0175986842105265
110.790.797598684210526-0.00759868421052643
120.790.792598684210526-0.00259868421052646
130.790.794078947368422-0.00407894736842181
140.790.790078947368421-7.89473684212328e-05
150.790.7840789473684210.00592105263157885
160.80.7800789473684210.0199210526315788
170.80.7780789473684210.0219210526315788
180.80.6819736842105260.118026315789474
190.80.6699736842105260.130026315789474
200.810.6719736842105260.138026315789474
210.80.6849671052631580.115032894736842
220.820.6774671052631580.142532894736842
230.850.6774671052631580.172532894736842
240.850.6724671052631580.177532894736842
250.860.6739473684210530.186052631578947
260.850.6699473684210530.180052631578947
270.830.6639473684210530.166052631578947
280.810.6599473684210530.150052631578947
290.820.6579473684210530.162052631578947
300.820.6819736842105260.138026315789474
310.780.6699736842105260.110026315789474
320.780.6719736842105260.108026315789474
330.730.6849671052631580.0450328947368421
340.680.6774671052631580.00253289473684221
350.650.677467105263158-0.0274671052631578
360.620.672467105263158-0.0524671052631579
370.60.673947368421053-0.0739473684210532
380.60.669947368421053-0.0699473684210527
390.590.663947368421053-0.0739473684210526
400.60.659947368421053-0.0599473684210526
410.60.657947368421053-0.0579473684210526
420.60.681973684210526-0.0819736842105263
430.590.669973684210526-0.0799736842105263
440.580.671973684210526-0.0919736842105263
450.560.684967105263158-0.124967105263158
460.550.677467105263158-0.127467105263158
470.540.677467105263158-0.137467105263158
480.550.672467105263158-0.122467105263158
490.550.673947368421053-0.123947368421053
500.540.669947368421053-0.129947368421053
510.540.663947368421053-0.123947368421053
520.540.659947368421053-0.119947368421053
530.530.657947368421053-0.127947368421053
540.530.681973684210526-0.151973684210526
550.530.669973684210526-0.139973684210526
560.530.671973684210526-0.141973684210526


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.001402242426988420.002804484853976840.998597757573012
170.0001887041217322130.0003774082434644250.999811295878268
181.62622317284713e-053.25244634569426e-050.999983737768272
191.45305969378616e-062.90611938757232e-060.999998546940306
201.21474128230855e-072.42948256461709e-070.999999878525872
219.13303601456206e-091.82660720291241e-080.999999990866964
229.79455948947691e-101.95891189789538e-090.999999999020544
234.9613264402823e-109.9226528805646e-100.999999999503867
241.75568871353511e-103.51137742707022e-100.999999999824431
257.84487934192638e-111.56897586838528e-100.99999999992155
262.16465228817821e-114.32930457635642e-110.999999999978354
279.08160565619374e-121.81632113123875e-110.999999999990918
281.21045010754585e-112.42090021509171e-110.999999999987895
299.59471631917635e-121.91894326383527e-110.999999999990405
301.99716890729718e-113.99433781459437e-110.999999999980028
311.50549144252779e-103.01098288505559e-100.99999999984945
322.01542308840681e-084.03084617681361e-080.99999997984577
332.42439442809682e-054.84878885619364e-050.999975756055719
340.02740906685093180.05481813370186370.972590933149068
350.3980019960836380.7960039921672770.601998003916361
360.701360595081740.5972788098365210.298639404918261
370.8167043844600970.3665912310798050.183295615539903
380.8486648947966010.3026702104067980.151335105203399
390.8281020954402340.3437958091195330.171897904559766
400.7778825305306910.4442349389386180.222117469469309


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.72NOK
5% type I error level180.72NOK
10% type I error level190.76NOK