Multiple Linear Regression - Estimated Regression Equation
aantal_WNs[t] = + 133767.4 + 838.200000000061M1[t] + 750.4M2[t] + 716.200000000001M3[t] + 654.8M4[t] + 653.000000000001M5[t] + 508.000000000001M6[t] + 422.6M7[t] + 343.000000000001M8[t] + 248.2M9[t] + 153.000000000001M10[t] + 66.6000000000005M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)133767.41668.14132580.189500
M1838.2000000000612359.1080860.35530.7239190.361959
M2750.42359.1080860.31810.7517990.3759
M3716.2000000000012359.1080860.30360.7627530.381376
M4654.82359.1080860.27760.782540.39127
M5653.0000000000012359.1080860.27680.7831230.391561
M6508.0000000000012359.1080860.21530.8304180.415209
M7422.62359.1080860.17910.8585850.429293
M8343.0000000000012359.1080860.14540.8850090.442504
M9248.22359.1080860.10520.9166480.458324
M10153.0000000000012359.1080860.06490.9485590.474279
M1166.60000000000052359.1080860.02820.9775950.488797


Multiple Linear Regression - Regression Statistics
Multiple R0.0813019394731372
R-squared0.00661000536209366
Adjusted R-squared-0.221041868409093
F-TEST (value)0.0290355851352991
F-TEST (DF numerator)11
F-TEST (DF denominator)48
p-value0.999999801881925
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3730.07739866078
Sum Squared Residuals667846915.2


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1135094134605.6488.400000000243
2135411134517.8893.200000000001
3135698134483.61214.4
4135880134422.21457.8
5135891134420.41470.6
6135971134275.41695.6
71361731341901983
8136358134110.42247.6
9136514134015.62498.4
10136506133920.42585.6
111367111338342877
12136891133767.43123.6
13137094134605.62488.39999999994
14137182134517.82664.2
15137400134483.62916.4
16137479134422.23056.8
17137620134420.43199.6
18137687134275.43411.6
191376381341903448
20137612134110.43501.6
21137681134015.63665.4
22137772133920.43851.6
231378991338344065
24137983133767.44215.6
25137996134605.63390.39999999994
26137913134517.83395.2
27137841134483.63357.4
28137656134422.23233.8
29137423134420.43002.6
30137245134275.42969.6
311370141341902824
32136747134110.42636.6
33136313134015.62297.4
34135804133920.41883.6
351350021338341168
36134383133767.4615.600000000001
37133563134605.6-1042.60000000006
38132837134517.8-1680.8
39132041134483.6-2442.6
40131381134422.2-3041.2
41130995134420.4-3425.4
42130493134275.4-3782.4
43130193134190-3997
44129962134110.4-4148.4
45129726134015.6-4289.6
46129505133920.4-4415.4
47129450133834-4384
48129320133767.4-4447.4
49129281134605.6-5324.60000000006
50129246134517.8-5271.8
51129438134483.6-5045.6
52129715134422.2-4707.2
53130173134420.4-4247.4
54129981134275.4-4294.4
55129932134190-4258
56129873134110.4-4237.4
57129844134015.6-4171.6
58130015133920.4-3905.4
59130108133834-3726
60130260133767.4-3507.4


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.03858056247638350.0771611249527670.961419437523616
160.01523533328310880.03047066656621760.984764666716891
170.006675658940066640.01335131788013330.993324341059933
180.003038588156172520.006077176312345050.996961411843827
190.001273946649056320.002547893298112650.998726053350944
200.0005061010891847080.001012202178369420.999493898910815
210.0002039236091821410.0004078472183642830.999796076390818
229.14029122269749e-050.000182805824453950.999908597087773
234.3640236000585e-058.728047200117e-050.999956359763999
242.24346524770755e-054.48693049541509e-050.999977565347523
252.33923087397346e-054.67846174794692e-050.99997660769126
262.17182092864902e-054.34364185729805e-050.999978281790713
271.94075850044482e-053.88151700088963e-050.999980592414996
281.75925091905906e-053.51850183811813e-050.999982407490809
291.61494349028508e-053.22988698057015e-050.999983850565097
301.88928963067336e-053.77857926134672e-050.999981107103693
312.94395348604482e-055.88790697208965e-050.99997056046514
327.0006991335387e-050.0001400139826707740.999929993008665
330.0002944086934703740.0005888173869407470.99970559130653
340.002285549949600760.004571099899201520.997714450050399
350.02700964745428420.05401929490856840.972990352545716
360.2452454484546410.4904908969092830.754754551545359
370.7027852533752830.5944294932494350.297214746624717
380.9719215353191730.05615692936165470.0280784646808273
390.9989885489333660.002022902133268140.00101145106663407
400.9999254780810120.0001490438379768637.45219189884314e-05
410.9999448752823370.0001102494353259455.51247176629727e-05
420.9998947466853720.0002105066292552250.000105253314627613
430.9996318052165550.0007363895668905580.000368194783445279
440.9983239908700710.003352018259858110.00167600912992905
450.9916526828072280.01669463438554340.0083473171927717


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level230.741935483870968NOK
5% type I error level260.838709677419355NOK
10% type I error level290.935483870967742NOK