Multiple Linear Regression - Estimated Regression Equation
WLH[t] = + 238.252733996356 + 0.216708479297129Faill[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)238.25273399635660.6436393.92870.000230.000115
Faill0.2167084792971290.0852362.54250.0136990.00685


Multiple Linear Regression - Regression Statistics
Multiple R0.316661441317002
R-squared0.100274468416961
Adjusted R-squared0.0847619592517364
F-TEST (value)6.46410373389184
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0136994828546096
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation126.218132664543
Sum Squared Residuals923998.986772809


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1493410.96939199616882.0306080038316
2514420.28785660594493.7121433940557
3522452.36071154191969.6392884580807
4490415.73697854070574.2630214592955
5484418.3374802922765.6625197077299
6506434.15719928096071.8428007190395
7501414.65343614421986.3465638557811
8462411.18610047546550.8138995245352
9465417.68735485437947.3126451456213
10454409.23572416179144.7642758382094
11464439.79161974268624.2083802573142
12427399.4838425934227.5161574065802
13460418.55418877156741.4458112284328
14473417.25393789578455.7460621042156
15465434.80732471885230.1926752811481
16422406.41851393092815.5814860690720
17415419.204314209459-4.20431420945858
18413393.19929669380319.8007033061969
19420396.23321540396323.7667845960371
20363397.100049321151-34.1000493211514
21376397.750174759043-21.7501747590428
22380392.549171255912-12.5491712559117
23384392.332462776615-8.33246277661458
24346382.797289687541-36.7972896875409
25389411.402808954762-22.4028089547619
26407381.49703881175825.5029611882419
27393388.2150016699694.78499833003087
28346378.896537060193-32.8965370601926
29348396.233215403963-48.2332154039629
30353373.04540811917-20.0454081191701
31364383.664123604729-19.6641236047294
32305375.862618350033-70.8626183500328
33307378.679828580895-71.6798285808955
34312399.700551072717-87.700551072717
35312373.478825077764-61.4788250777644
36286341.622678621086-55.6226786210864
37324392.115754297317-68.1157542973175
38336349.857600834377-13.8576008343773
39327338.155342952332-11.1553429523323
40302366.110736781662-64.110736781662
41299328.186752904664-29.1867529046644
42311358.309231526965-47.3092315269653
43315365.027194385176-50.0271943851763
44264349.424183875783-85.424183875783
45278366.327445260959-88.3274452609591
46278359.826190882045-81.8261908820452
47287386.481333835592-99.4813338355921
48279383.013998166838-104.013998166838
49324410.535975037573-86.5359750375734
50354406.418513930928-52.418513930928
51354238.469442475653115.530557524347
5243316.267786543322-273.267786543322
53964316.917911981214647.082088018786
54762321.685498525751440.314501474249
551244.753988375270-243.753988375270
56412441.74199605636-29.74199605636
57370407.068639368819-37.0686393688193
58389437.19111799112-48.1911179911203
59395420.071148126647-25.0711481266471
60417427.655944902047-10.6559449020466


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.00112771875271870.00225543750543740.998872281247281
68.81814211320073e-050.0001763628422640150.999911818578868
77.81653814919834e-061.56330762983967e-050.99999218346185
88.14725325849e-061.629450651698e-050.999991852746742
93.46965149368275e-066.9393029873655e-060.999996530348506
101.11093389761539e-062.22186779523078e-060.999998889066102
111.42874121514483e-062.85748243028966e-060.999998571258785
128.10401047048716e-071.62080209409743e-060.999999189598953
131.86262954734251e-073.72525909468502e-070.999999813737045
143.10543974762305e-086.21087949524611e-080.999999968945603
151.14127892855033e-082.28255785710066e-080.99999998858721
167.3077962604366e-091.46155925208732e-080.999999992692204
171.31805677265179e-082.63611354530358e-080.999999986819432
183.47676554661281e-096.95353109322562e-090.999999996523234
197.63215965606024e-101.52643193121205e-090.999999999236784
201.95816192594289e-093.91632385188578e-090.999999998041838
211.20706745816785e-092.41413491633570e-090.999999998792933
223.61139313402538e-107.22278626805076e-100.99999999963886
238.8828207892772e-111.77656415785544e-100.999999999911172
242.92388479345311e-115.84776958690621e-110.999999999970761
252.1894089654191e-114.3788179308382e-110.999999999978106
267.42032769866762e-121.48406553973352e-110.99999999999258
271.47534690156053e-122.95069380312107e-120.999999999998525
283.52445018511716e-137.04890037023432e-130.999999999999648
292.93423532089552e-135.86847064179105e-130.999999999999707
305.52353921970559e-141.10470784394112e-130.999999999999945
311.04884204868252e-142.09768409736505e-140.99999999999999
325.22185070394647e-151.04437014078929e-140.999999999999995
332.54186069252230e-155.08372138504461e-150.999999999999997
341.43645484572826e-142.87290969145651e-140.999999999999986
353.28640866936711e-156.57281733873422e-150.999999999999997
369.85039092685998e-161.97007818537200e-150.999999999999999
376.51629956158993e-161.30325991231799e-151
383.49314705933293e-166.98629411866586e-161
392.42532771602973e-164.85065543205947e-161
405.8135822242872e-171.16271644485744e-161
412.38280133980836e-174.76560267961672e-171
424.26737446507367e-188.53474893014733e-181
437.8763835726494e-191.57527671452988e-181
442.07143090489578e-194.14286180979155e-191
459.17795290887289e-201.83559058177458e-191
462.54265175016614e-205.08530350033227e-201
474.36690132325945e-208.7338026465189e-201
486.29670328253349e-201.25934065650670e-191
491.44194349826495e-192.8838869965299e-191
505.37556069305754e-201.07511213861151e-191
512.65973607893268e-165.31947215786536e-161
525.32400859033375e-131.06480171806675e-120.999999999999468
530.004130119584804490.008260239169608970.995869880415196
540.9982138541109980.003572291778003460.00178614588900173
550.9974859742898560.005028051420288880.00251402571014444


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level511NOK
5% type I error level511NOK
10% type I error level511NOK