Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 103.640526315790 + 7.77683217477653X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)103.6405263157900.983599105.368700
X7.776832174776531.1464276.783500


Multiple Linear Regression - Regression Statistics
Multiple R0.629791177928378
R-squared0.396636927796414
Adjusted R-squared0.388017455336363
F-TEST (value)46.0163808904445
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value3.09137426768302e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.28740968238986
Sum Squared Residuals1286.73172492552


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1103.52103.640526315789-0.120526315788941
2103.5103.640526315789-0.140526315789487
3103.52103.640526315790-0.120526315789508
4103.53103.640526315790-0.110526315789503
5103.53103.640526315790-0.110526315789503
6103.53103.640526315790-0.110526315789503
7103.52103.640526315790-0.120526315789508
8103.54103.640526315790-0.100526315789498
9103.59103.640526315790-0.0505263157895004
10103.59103.640526315790-0.0505263157895004
11103.59103.640526315790-0.0505263157895004
12103.59103.640526315790-0.0505263157895004
13103.63103.640526315790-0.0105263157895084
14103.74103.6405263157900.099473684210491
15103.7103.6405263157900.059473684210499
16103.72103.6405263157900.079473684210495
17103.81103.6405263157900.169473684210498
18103.8103.6405263157900.159473684210493
19104.22103.6405263157900.579473684210495
20106.91111.417358490566-4.50735849056604
21107.06111.417358490566-4.35735849056604
22107.17111.417358490566-4.24735849056604
23107.25111.417358490566-4.16735849056604
24107.28111.417358490566-4.13735849056604
25107.24111.417358490566-4.17735849056604
26107.23111.417358490566-4.18735849056603
27107.34111.417358490566-4.07735849056603
28107.34111.417358490566-4.07735849056603
29107.3111.417358490566-4.11735849056604
30107.24111.417358490566-4.17735849056604
31107.3111.417358490566-4.11735849056604
32107.32111.417358490566-4.09735849056604
33107.28111.417358490566-4.13735849056604
34107.33111.417358490566-4.08735849056604
35107.33111.417358490566-4.08735849056604
36107.33111.417358490566-4.08735849056604
37107.28111.417358490566-4.13735849056604
38107.28111.417358490566-4.13735849056604
39107.29111.417358490566-4.12735849056603
40107.29111.417358490566-4.12735849056603
41107.23111.417358490566-4.18735849056603
42107.24111.417358490566-4.17735849056604
43107.24111.417358490566-4.17735849056604
44107.2111.417358490566-4.21735849056603
45107.23111.417358490566-4.18735849056603
46107.2111.417358490566-4.21735849056603
47107.21111.417358490566-4.20735849056604
48107.24111.417358490566-4.17735849056604
49107.21111.417358490566-4.20735849056604
50113.89111.4173584905662.47264150943396
51114.05111.4173584905662.63264150943396
52114.05111.4173584905662.63264150943396
53114.05111.4173584905662.63264150943396
54114.05111.4173584905662.63264150943396
55115.12111.4173584905663.70264150943397
56115.68111.4173584905664.26264150943397
57116.05111.4173584905664.63264150943396
58116.18111.4173584905664.76264150943397
59116.35111.4173584905664.93264150943396
60116.44111.4173584905665.02264150943396
61117111.4173584905665.58264150943396
62117.61111.4173584905666.19264150943396
63118.17111.4173584905666.75264150943396
64118.33111.4173584905666.91264150943396
65118.33111.4173584905666.91264150943396
66118.42111.4173584905667.00264150943396
67118.5111.4173584905667.08264150943396
68118.67111.4173584905667.25264150943396
69119.09111.4173584905667.67264150943397
70119.14111.4173584905667.72264150943396
71119.23111.4173584905667.81264150943397
72119.33111.4173584905667.91264150943396


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
54.48941822190818e-088.97883644381637e-080.999999955105818
61.48936788031150e-102.97873576062301e-100.999999999851063
73.68370850672314e-137.36741701344627e-130.999999999999632
82.46720343835644e-154.93440687671288e-150.999999999999998
91.65570516334699e-153.31141032669399e-150.999999999999998
106.14831937223353e-171.22966387444671e-161
111.32168788705674e-182.64337577411347e-181
122.21773586180352e-204.43547172360704e-201
131.51734534586769e-213.03469069173538e-211
144.79506582668233e-219.59013165336467e-211
153.79285067676758e-227.58570135353516e-221
163.12960649708841e-236.25921299417682e-231
171.24035444243874e-232.48070888487748e-231
181.67278439035596e-243.34556878071192e-241
193.93552234610264e-227.87104469220529e-221
201.51178590861411e-233.02357181722822e-231
216.93285959542567e-251.38657191908513e-241
223.90331210525806e-267.80662421051611e-261
232.56502675287941e-275.13005350575881e-271
241.58403090376922e-283.16806180753845e-281
257.339093868117e-301.4678187736234e-291
263.19237540411187e-316.38475080822375e-311
272.12301415109164e-324.24602830218327e-321
281.29252148591915e-332.58504297183829e-331
296.3750245527402e-351.27500491054804e-341
302.78331940240981e-365.56663880481962e-361
311.39837264457149e-372.79674528914298e-371
327.62541544071102e-391.52508308814220e-381
333.81328475781301e-407.62656951562602e-401
342.29119597759008e-414.58239195518016e-411
351.43550210780219e-422.87100421560438e-421
369.52907316021083e-441.90581463204217e-431
376.1181707651741e-451.22363415303482e-441
384.37553446014350e-468.75106892028701e-461
393.61984423218559e-477.23968846437118e-471
403.53470727561178e-487.06941455122356e-481
414.32625188387039e-498.65250376774077e-491
426.88201314497856e-501.37640262899571e-491
431.57411786130581e-503.14823572261162e-501
446.51121154588855e-511.30224230917771e-501
454.95791005788827e-519.91582011577654e-511
461.16105013115708e-502.32210026231415e-501
471.41301114269706e-492.82602228539413e-491
483.6725639591611e-477.3451279183222e-471
493.84085774702536e-417.68171549405073e-411
503.24351135942703e-056.48702271885406e-050.999967564886406
510.03017197751853540.06034395503707090.969828022481465
520.2804190672775320.5608381345550630.719580932722468
530.6703842623745150.659231475250970.329615737625485
540.9228590343757040.1542819312485930.0771409656242964
550.9830976467778990.03380470644420210.0169023532221010
560.9956633638501630.008673272299673890.00433663614983694
570.9986119938181760.002776012363648490.00138800618182425
580.9995510982324750.0008978035350499330.000448901767524967
590.999866474236690.0002670515266201190.000133525763310059
600.999979354392314.12912153780045e-052.06456076890022e-05
610.999996118175327.7636493584692e-063.8818246792346e-06
620.9999979850288134.02994237350239e-062.01497118675119e-06
630.9999952354253089.52914938448087e-064.76457469224044e-06
640.9999833623383633.32753232733442e-051.66376616366721e-05
650.9999456719047820.0001086561904365535.43280952182767e-05
660.9998059128480850.0003881743038307060.000194087151915353
670.9993903691022240.001219261795552770.000609630897776385


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level580.92063492063492NOK
5% type I error level590.936507936507937NOK
10% type I error level600.952380952380952NOK