Multiple Linear Regression - Estimated Regression Equation
Broodprijs[t] = + 106.911785714286 -0.463380952380941M1[t] -0.426404761904755M2[t] -0.619428571428571M3[t] -0.700452380952378M4[t] -0.78147619047619M5[t] -1.02450000000000M6[t] -1.31552380952381M7[t] -1.36854761904761M8[t] -1.22357142857143M9[t] + 0.130547619047621M10[t] + 0.124023809523815M11[t] + 0.309023809523809t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)106.9117857142861.48672271.911100
M1-0.4633809523809411.795913-0.2580.7975950.398797
M2-0.4264047619047551.79473-0.23760.8133040.406652
M3-0.6194285714285711.793808-0.34530.7315030.365752
M4-0.7004523809523781.79315-0.39060.6979580.348979
M5-0.781476190476191.792755-0.43590.6650350.332517
M6-1.024500000000001.792623-0.57150.5705630.285281
M7-1.315523809523811.792755-0.73380.4669630.233481
M8-1.368547619047611.79315-0.76320.4494120.224706
M9-1.223571428571431.793808-0.68210.4987460.249373
M100.1305476190476211.8900910.06910.9452470.472624
M110.1240238095238151.8897160.06560.9479690.473984
t0.3090238095238090.02173214.219500


Multiple Linear Regression - Regression Statistics
Multiple R0.907342742855159
R-squared0.823270853011923
Adjusted R-squared0.775071994742447
F-TEST (value)17.0807127506857
F-TEST (DF numerator)12
F-TEST (DF denominator)44
p-value8.83182416089312e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.67228486432564
Sum Squared Residuals314.208681428571


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1104.37106.757428571429-2.38742857142851
2104.89107.103428571429-2.21342857142857
3105.15107.219428571429-2.06942857142857
4105.72107.447428571429-1.72742857142858
5106.38107.675428571429-1.29542857142858
6106.4107.741428571429-1.34142857142857
7106.47107.759428571429-1.28942857142858
8106.59108.015428571429-1.42542857142858
9106.76108.469428571429-1.70942857142857
10107.35110.132571428571-2.78257142857144
11107.81110.435071428571-2.62507142857143
12108.03110.620071428571-2.59007142857143
13109.08110.465714285714-1.38571428571429
14109.86110.811714285714-0.951714285714292
15110.29110.927714285714-0.637714285714282
16110.34111.155714285714-0.815714285714287
17110.59111.383714285714-0.793714285714284
18110.64111.449714285714-0.80971428571429
19110.83111.467714285714-0.637714285714289
20111.51111.723714285714-0.213714285714284
21113.32112.1777142857141.14228571428571
22115.89113.8408571428572.04914285714286
23116.51114.1433571428572.36664285714286
24117.44114.3283571428573.11164285714286
25118.25114.1744.07599999999998
26118.65114.524.13
27118.52114.6363.88399999999999
28119.07114.8644.20599999999999
29119.12115.0924.02800000000000
30119.28115.1584.122
31119.3115.1764.124
32119.44115.4324.008
33119.57115.8863.68400000000000
34119.93117.5491428571432.38085714285715
35120.03117.8516428571432.17835714285714
36119.66118.0366428571431.62335714285714
37119.46117.8822857142861.57771428571427
38119.48118.2282857142861.25171428571429
39119.56118.3442857142861.21571428571429
40119.43118.5722857142860.857714285714295
41119.57118.8002857142860.769714285714281
42119.59118.8662857142860.72371428571429
43119.5118.8842857142860.61571428571429
44119.54119.1402857142860.399714285714294
45119.56119.594285714286-0.0342857142857081
46119.61121.257428571429-1.64742857142857
47119.64121.559928571429-1.91992857142857
48119.6121.744928571429-2.14492857142857
49119.71121.590571428571-1.88057142857145
50119.72121.936571428571-2.21657142857143
51119.66122.052571428571-2.39257142857143
52119.76122.280571428571-2.52057142857142
53119.8122.508571428571-2.70857142857143
54119.88122.574571428571-2.69457142857143
55119.78122.592571428571-2.81257142857142
56120.08122.848571428571-2.76857142857143
57120.22123.302571428571-3.08257142857142


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0007117584110780180.001423516822156040.999288241588922
170.0005487511104970660.001097502220994130.999451248889503
180.000240823499506490.000481646999012980.999759176500494
190.0001203518881491180.0002407037762982350.99987964811185
200.0002016795180957470.0004033590361914940.999798320481904
210.1159643277611460.2319286555222920.884035672238854
220.9677391568885540.06452168622289150.0322608431114457
230.999984353325893.12933482197734e-051.56466741098867e-05
240.9999999963069327.38613661568576e-093.69306830784288e-09
250.999999999810833.78337779341133e-101.89168889670566e-10
260.9999999998538722.92255241606575e-101.46127620803288e-10
270.9999999999755984.88048978936672e-112.44024489468336e-11
280.9999999998847672.30465525303569e-101.15232762651784e-10
290.9999999994916331.01673375893903e-095.08366879469517e-10
300.9999999971286255.74274934984942e-092.87137467492471e-09
310.999999981207853.75842996495553e-081.87921498247776e-08
320.9999998848388742.30322251359141e-071.15161125679571e-07
330.9999993404004471.31919910594486e-066.59599552972431e-07
340.9999993513122761.29737544724931e-066.48687723624653e-07
350.9999998979231162.04153767742508e-071.02076883871254e-07
360.9999999123744991.75251002715106e-078.76255013575532e-08
370.9999996088097297.82380542561824e-073.91190271280912e-07
380.9999977931857874.41362842620912e-062.20681421310456e-06
390.9999930032715021.39934569956719e-056.99672849783594e-06
400.999927476113160.0001450477736794567.25238868397279e-05
410.9994456118006040.001108776398791580.000554388199395789


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.923076923076923NOK
5% type I error level240.923076923076923NOK
10% type I error level250.961538461538462NOK