Multiple Linear Regression - Estimated Regression Equation
BouwV[t] = + 518.747264117247 -11.3910198062011X[t] + 19.2778823073052M1[t] + 37.7341697487835M2[t] + 49.0513552096416M3[t] + 38.1459775015075M4[t] -13.2255554531384M5[t] -17.1918311806524M6[t] -7.0746457197943M7[t] -3.38528065506023M8[t] + 5.01536599416992M9[t] + 6.76562907828386M10[t] + 3.93845533138997M11[t] + 1.76627572751399t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)518.74726411724710.65718948.675800
X-11.39101980620111.612509-7.064200
M119.277882307305212.3868121.55630.1264850.063243
M237.734169748783512.3593883.05310.0037580.001879
M349.051355209641612.3407713.97470.0002470.000123
M438.145977501507512.3315433.09340.003360.00168
M5-13.225555453138412.312201-1.07420.2883430.144172
M6-17.191831180652412.301295-1.39760.1689490.084474
M7-7.074645719794312.290025-0.57560.5676630.283832
M8-3.3852806550602312.281387-0.27560.7840570.392028
M95.0153659941699212.2737450.40860.6847110.342355
M106.7656290782838612.2701250.55140.5840350.292017
M113.9384553313899712.2666330.32110.7496110.374806
t1.766275727513990.14968911.799700


Multiple Linear Regression - Regression Statistics
Multiple R0.909497131849277
R-squared0.82718503284206
Adjusted R-squared0.778346020384382
F-TEST (value)16.9369729488052
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value2.36588526547621e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.3938442355615
Sum Squared Residuals17301.5749347282


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1564550.04333997764813.9566600223522
2581571.405005127269.59499487274032
3597581.07116037377115.9288396262285
4587583.3230781993523.6769218006476
5536525.7441071078810.2558928921202
6524514.4312912629199.56870873708105
7537516.0628346257120.9371653742900
8536522.65757739857813.3424226014218
9533518.01617402726114.9838259727391
10528519.2545088776498.7454911223514
11516511.3589989745484.64100102545195
12502503.491309467572-1.49130946757155
13506506.309835812469-0.309835812468962
14518518.55868511712-0.55868511712047
15534532.7812482861131.21875171388738
16528517.94663640239210.0533635976080
17478469.480481155888.51951884411976
18469475.254195020221-6.25419502022099
19490498.528676014794-8.52867601479417
20493500.567010865182-7.56701086518187
21508519.846749086887-11.8467490868869
22517524.502389879135-7.50238987913494
23514527.997899782235-13.9978997822355
24510528.1039241396-18.1039241395997
25527557.12179603876-30.1217960387597
26542586.457175052713-44.4571750527128
27565601.818840202325-36.8188402023251
28555591.540636241085-36.5406362410849
29499541.935379013953-42.935379013953
30511539.735379013953-28.7353790139531
31526545.923330299225-19.9233302992246
32532551.378971091473-19.3789710914726
33549561.545893468217-12.5458934682168
34561566.201534260465-5.20153426046479
35557560.584228318604-3.58422831860446
36566559.5511506953496.4488493046514
37588584.0126146720283.98738532797186
38620601.9569738797818.0430261202198
39626610.48402714567215.5159728543282
40620600.20582318443219.7941768155684
41573549.4614639766823.5385360233204
42573543.84415803481929.1558419651807
43574558.00582318443215.9941768155684
44580568.0178718991611.9821281008399
45590571.35018239218418.6498176078165
46593574.86672120381118.1332787961885
47597573.80582318443223.1941768155684
48595577.32915348365617.6708465163439
49612599.51241349909512.4875865009045
50628610.62216082312717.3778391768732
51629624.8447239921194.15527600788097
52621617.9838259727393.01617402726085
53569568.3785687456070.621431254392733
54567570.734976668088-3.73497666808771
55573581.47933587584-8.47933587583966
56584582.3785687456071.62143125439271
57589598.241001025452-9.24100102545196
58591605.17484577894-14.1748457789402
59595605.25304974018-10.2530497401804
60594598.524462213824-4.52446221382403


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.002418959017233110.004837918034466210.997581040982767
180.0007255558813377320.001451111762675460.999274444118662
190.0002174012744920830.0004348025489841670.999782598725508
200.0001161462455523120.0002322924911046240.999883853754448
210.0001572079537109940.0003144159074219880.99984279204629
220.0005665519758261480.001133103951652300.999433448024174
230.000525689411550960.001051378823101920.99947431058845
240.0009604939074498710.001920987814899740.99903950609255
250.00277364802855690.00554729605711380.997226351971443
260.005840700664533060.01168140132906610.994159299335467
270.002644914197892700.005289828395785390.997355085802107
280.001435218127839540.002870436255679080.99856478187216
290.002432479528491150.00486495905698230.997567520471509
300.007697618012550420.01539523602510080.99230238198745
310.02195334991753370.04390669983506730.978046650082466
320.09517933495196920.1903586699039380.904820665048031
330.2864842867170760.5729685734341520.713515713282924
340.5220789305094510.9558421389810990.477921069490549
350.9379553411276960.1240893177446070.0620446588723037
360.9988933395864270.002213320827146790.00110666041357340
370.9999998475156633.04968674122329e-071.52484337061164e-07
380.9999998824844082.35031184252051e-071.17515592126026e-07
390.9999994096711681.18065766486405e-065.90328832432025e-07
400.9999960289552687.9420894632852e-063.9710447316426e-06
410.999991982461261.60350774780667e-058.01753873903334e-06
420.9999957630992048.47380159274221e-064.23690079637111e-06
430.9999122512874060.0001754974251884438.77487125942217e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level200.740740740740741NOK
5% type I error level230.851851851851852NOK
10% type I error level230.851851851851852NOK