Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 545.544217687075 + 10.6394557823129X[t] -4.19727891156464M1[t] + 2M2[t] + 6.00000000000001M3[t] + 1.20000000000001M4[t] -9M5[t] -14M6[t] -27M7[t] -23.6M8[t] + 28.4M9[t] + 35.4M10[t] + 19.6M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)545.54421768707516.1588633.761300
X10.63945578231299.1776161.15930.2520750.126038
M1-4.1972789115646421.326852-0.19680.8448090.422405
M2222.2545360.08990.9287650.464383
M36.0000000000000122.2545360.26960.7886180.394309
M41.2000000000000122.2545360.05390.9572210.478611
M5-922.254536-0.40440.6877060.343853
M6-1422.254536-0.62910.5322760.266138
M7-2722.254536-1.21320.2309760.115488
M8-23.622.254536-1.06050.2942430.147122
M928.422.2545361.27610.2080450.104022
M1035.422.2545361.59070.1182450.059123
M1119.622.2545360.88070.3828580.191429


Multiple Linear Regression - Regression Statistics
Multiple R0.518642621269286
R-squared0.268990168597076
Adjusted R-squared0.0862377107463449
F-TEST (value)1.47188263162393
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.168108290720798
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation35.1875103460552
Sum Squared Residuals59431.7224489796


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1595541.3469387755153.6530612244897
2597547.54421768707549.4557823129252
3593551.54421768707541.4557823129252
4590546.74421768707543.2557823129251
5580536.54421768707543.4557823129252
6574531.54421768707542.4557823129252
7573518.54421768707554.4557823129252
8573521.94421768707551.0557823129252
9620573.94421768707546.0557823129252
10626580.94421768707545.0557823129252
11620565.14421768707554.8557823129252
12588545.54421768707542.4557823129252
13566541.3469387755124.6530612244898
14557547.5442176870759.45578231292518
15561551.5442176870759.45578231292517
16549546.7442176870752.25578231292517
17532536.544217687075-4.54421768707483
18526531.544217687075-5.54421768707483
19511518.544217687075-7.54421768707483
20499521.944217687075-22.9442176870748
21555573.944217687075-18.9442176870748
22565580.944217687075-15.9442176870748
23542565.144217687075-23.1442176870748
24527545.544217687075-18.5442176870748
25510541.34693877551-31.3469387755102
26514547.544217687075-33.5442176870748
27517551.544217687075-34.5442176870748
28508546.744217687075-38.7442176870748
29493536.544217687075-43.5442176870748
30490531.544217687075-41.5442176870748
31469518.544217687075-49.5442176870748
32478521.944217687075-43.9442176870748
33528573.944217687075-45.9442176870748
34534580.944217687075-46.9442176870748
35518565.144217687075-47.1442176870748
36506545.544217687075-39.5442176870748
37502551.986394557823-49.9863945578231
38516558.183673469388-42.1836734693878
39528562.183673469388-34.1836734693878
40533557.383673469388-24.3836734693878
41536547.183673469388-11.1836734693878
42537542.183673469388-5.18367346938776
43524529.183673469388-5.18367346938776
44536532.5836734693883.41632653061225
45587584.5836734693882.41632653061224
46597591.5836734693885.41632653061224
47581575.7836734693885.21632653061224
48564556.1836734693887.81632653061225
49558551.9863945578236.01360544217689
50575558.18367346938816.8163265306123
51580562.18367346938817.8163265306122
52575557.38367346938817.6163265306122
53563547.18367346938815.8163265306122
54552542.1836734693889.81632653061224
55537529.1836734693887.81632653061225
56545532.58367346938812.4163265306123
57601584.58367346938816.4163265306122
58604591.58367346938812.4163265306122
59586575.78367346938810.2163265306122
60564556.1836734693887.81632653061225
61549551.986394557823-2.98639455782311


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.919326002351540.1613479952969190.0806739976484595
170.9550164703425620.08996705931487680.0449835296574384
180.973851264061170.05229747187766060.0261487359388303
190.9920487977503230.0159024044993550.00795120224967752
200.9975432895503550.004913420899289240.00245671044964462
210.998583888043820.00283222391236140.0014161119561807
220.9990113211773940.001977357645211350.000988678822605676
230.9994906348813030.001018730237394930.000509365118697467
240.9995162197329540.0009675605340915750.000483780267045787
250.999785765887270.0004284682254606920.000214234112730346
260.9998439056349640.0003121887300725550.000156094365036278
270.9998524068670190.0002951862659624210.00014759313298121
280.9998256966325660.0003486067348680250.000174303367434013
290.999756212487010.0004875750259783390.00024378751298917
300.9996317030104660.0007365939790685220.000368296989534261
310.9995036257537550.0009927484924905060.000496374246245253
320.9991290892654770.001741821469046570.000870910734523286
330.998480478753070.003039042493860240.00151952124693012
340.997383394362550.005233211274899990.00261660563744999
350.9955324570859760.008935085828047650.00446754291402383
360.9915956034133260.0168087931733480.00840439658667401
370.9950524442018360.009895111596327370.00494755579816368
380.9981519895718960.003696020856208790.0018480104281044
390.9995134169147680.0009731661704646770.000486583085232338
400.9999020139606320.0001959720787351229.7986039367561e-05
410.9999487669750250.0001024660499497595.12330249748796e-05
420.9998867510805180.000226497838963610.000113248919481805
430.9996893050517710.0006213898964575170.000310694948228759
440.9986513172506840.002697365498631680.00134868274931584
450.9973410994579620.005317801084075650.00265890054203782


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level250.833333333333333NOK
5% type I error level270.9NOK
10% type I error level290.966666666666667NOK