Multiple Linear Regression - Estimated Regression Equation
Tarweprijs[t] = + 246.070714285714 -14.5294523809523M1[t] -4.55276190476188M2[t] -2.39007142857144M3[t] -16.1333809523809M4[t] -18.5126904761905M5[t] -14.264M6[t] -11.9333095238095M7[t] -2.94061904761904M8[t] + 6.00607142857145M9[t] -3.71188095238094M10[t] -8.32719047619046M11[t] + 0.125309523809523t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)246.07071428571441.9484765.8661e-060
M1-14.529452380952350.67244-0.28670.7756630.387831
M2-4.5527619047618850.639039-0.08990.928770.464385
M3-2.3900714285714450.613044-0.04720.962550.481275
M4-16.133380952380950.594468-0.31890.7513290.375665
M5-18.512690476190550.58332-0.3660.7161310.358065
M6-14.26450.579603-0.2820.7792570.389629
M7-11.933309523809550.58332-0.23590.8145940.407297
M8-2.9406190476190450.594468-0.05810.9539150.476958
M96.0060714285714550.6130440.11870.906080.45304
M10-3.7118809523809453.329686-0.06960.9448250.472413
M11-8.3271904761904653.319109-0.15620.8766080.438304
t0.1253095238095230.6131870.20440.8390160.419508


Multiple Linear Regression - Regression Statistics
Multiple R0.115070824238089
R-squared0.0132412945908331
Adjusted R-squared-0.255874715975303
F-TEST (value)0.0492029239099433
F-TEST (DF numerator)12
F-TEST (DF denominator)44
p-value0.99999874385495
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation75.3996204688767
Sum Squared Residuals250144.521741429


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1167.16231.666571428571-64.5065714285712
2179.84241.768571428571-61.9285714285715
3174.44244.056571428571-69.6165714285714
4180.35230.438571428571-50.0885714285714
5193.17228.184571428571-35.0145714285715
6195.16232.558571428571-37.3985714285715
7202.43235.014571428571-32.5845714285714
8189.91244.132571428571-54.2225714285715
9195.98253.204571428571-57.2245714285714
10212.09243.611928571429-31.5219285714286
11205.81239.121928571429-33.3119285714286
12204.31247.574428571429-43.2644285714286
13196.07233.170285714286-37.1002857142858
14199.98243.272285714286-43.2922857142857
15199.1245.560285714286-46.4602857142857
16198.31231.942285714286-33.6322857142857
17195.72229.688285714286-33.9682857142857
18223.04234.062285714286-11.0222857142857
19238.41236.5182857142861.89171428571427
20259.73245.63628571428614.0937142857143
21326.54254.70828571428671.8317142857143
22335.15245.11564285714390.0343571428571
23321.81240.62564285714381.1843571428572
24368.62249.078142857143119.541857142857
25369.59234.674134.916
26425244.776180.224
27439.72247.064192.656
28362.23233.446128.784
29328.76231.19297.568
30348.55235.566112.984
31328.18238.02290.158
32329.34247.1482.2
33295.55256.21239.338
34237.38246.619357142857-9.23935714285715
35226.85242.129357142857-15.2793571428571
36220.14250.581857142857-30.4418571428571
37239.36236.1777142857143.1822857142857
38224.69246.279714285714-21.5897142857143
39230.98248.567714285714-17.5877142857143
40233.47234.949714285714-1.47971428571428
41256.7232.69571428571424.0042857142857
42253.41237.06971428571416.3402857142857
43224.95239.525714285714-14.5757142857143
44210.37248.643714285714-38.2737142857143
45191.09257.715714285714-66.6257142857143
46198.85248.123071428571-49.2730714285714
47211.04243.633071428571-32.5930714285714
48206.25252.085571428571-45.8355714285714
49201.19237.681428571429-36.4914285714286
50194.37247.783428571429-53.4134285714286
51191.08250.071428571429-58.9914285714285
52192.87236.453428571429-43.5834285714286
53181.61234.199428571429-52.5894285714285
54157.67238.573428571429-80.9034285714286
55196.14241.029428571429-44.8894285714286
56246.35250.147428571429-3.79742857142858
57271.9259.21942857142912.6805714285714


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.000228760162409490.000457520324818980.99977123983759
170.000443131965778780.000886263931557560.999556868034221
189.80847139554618e-050.0001961694279109240.999901915286045
195.23562646792467e-050.0001047125293584930.99994764373532
200.001369741533516840.002739483067033690.998630258466483
210.06625547353146240.1325109470629250.933744526468538
220.1141321267360210.2282642534720430.885867873263979
230.120027086770030.240054173540060.87997291322997
240.2320169223654380.4640338447308760.767983077634562
250.2988023323723120.5976046647446240.701197667627688
260.583340669974090.8333186600518210.416659330025911
270.8910380447644290.2179239104711420.108961955235571
280.8949359582328930.2101280835342150.105064041767107
290.8595544880997450.280891023800510.140445511900255
300.886868929392570.2262621412148570.113131070607429
310.9001460513674850.1997078972650290.0998539486325146
320.9047459399529580.1905081200940830.0952540600470416
330.9133900297263150.1732199405473710.0866099702736853
340.9451556389997470.1096887220005060.054844361000253
350.9474746065292030.1050507869415930.0525253934707965
360.9465887477096060.1068225045807880.053411252290394
370.9250897209606220.1498205580787570.0749102790393784
380.8963894878511720.2072210242976560.103610512148828
390.8427423115239670.3145153769520650.157257688476033
400.7453793206790440.5092413586419120.254620679320956
410.6635536313262330.6728927373475340.336446368673767


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.192307692307692NOK
5% type I error level50.192307692307692NOK
10% type I error level50.192307692307692NOK