Multiple Linear Regression - Estimated Regression Equation
WHL[t] = + 537.42712288551 + 1.13414112306967ICONS[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)537.4271228855113.96078738.495500
ICONS1.134141123069670.7450131.52230.1333650.066682


Multiple Linear Regression - Regression Statistics
Multiple R0.196011750165139
R-squared0.0384206062028008
Adjusted R-squared0.0218416511373318
F-TEST (value)2.31743231410429
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.133364918003988
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation41.3262635143747
Sum Squared Residuals99055.883251453


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1611558.97580422383452.0241957761664
2594557.84166310076436.1583368992357
3595558.97580422383436.0241957761660
4591558.97580422383432.0241957761660
5589562.37822759304326.621772406957
6584563.51236871611320.4876312838873
7573560.10994534690412.8900546530964
8567553.30509860848613.6949013915144
9569553.30509860848615.6949013915144
10621553.30509860848667.6949013915144
11629554.43923973155574.5607602684447
12628549.90267523927778.0973247607234
13612556.70752197769555.2924780223054
14595555.57338085462539.4266191453751
15597560.10994534690436.8900546530964
16593564.64650983918228.3534901608177
17590563.51236871611326.4876312838874
18580560.10994534690419.8900546530964
19574561.24408646997312.7559135300267
20573558.97580422383414.0241957761660
21573563.5123687161139.48763128388735
22620563.51236871611356.4876312838874
23626563.51236871611362.4876312838874
24620563.51236871611356.4876312838874
25588568.04893320839119.9510667916087
26566566.914792085322-0.914792085321672
27557556.7075219776950.292478022305391
28561564.646509839182-3.64650983918232
29549566.914792085322-17.9147920853217
30532564.646509839182-32.6465098391823
31526568.048933208391-42.0489332083913
32511568.048933208391-57.0489332083913
33499566.914792085322-67.9147920853217
34555564.646509839182-9.64650983918232
35565563.5123687161131.48763128388735
36542563.512368716113-21.5123687161126
37527564.646509839182-37.6465098391823
38510556.707521977695-46.7075219776946
39514561.244086469973-47.2440864699733
40517558.975804223834-41.975804223834
41508562.378227593043-54.378227593043
42493562.378227593043-69.378227593043
43490557.841663100764-67.8416631007643
44469555.573380854625-86.573380854625
45478553.305098608486-75.3050986084856
46528551.036816362346-23.0368163623462
47534553.305098608486-19.3050986084856
48518555.573380854625-37.5733808546249
49506546.500251870068-40.5002518700675
50502540.829546254719-38.8295462547192
51516537.42712288551-21.4271228855102
52528543.097828500859-15.0978285008585
53533538.56126400858-5.56126400857983
54536538.56126400858-2.56126400857983
55537540.829546254719-3.82954625471918
56524544.231969623928-20.2319696239282
57536545.366110746998-9.36611074699787
58587546.50025187006840.4997481299325
59597553.30509860848643.6949013915144
60581553.30509860848627.6949013915144


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.0154693577752530.0309387155505060.984530642224747
60.002999589916737530.005999179833475050.997000410083262
70.004043200649900400.008086401299800790.9959567993501
80.005338625995242030.01067725199048410.994661374004758
90.001950700807076410.003901401614152830.998049299192924
100.00954876691703560.01909753383407120.990451233082964
110.02094970040997590.04189940081995170.979050299590024
120.02241836227605780.04483672455211560.977581637723942
130.01706783208640250.0341356641728050.982932167913597
140.01022993229315780.02045986458631560.989770067706842
150.006095018767959780.01219003753591960.99390498123204
160.003564077287706650.007128154575413310.996435922712293
170.00193013160622240.00386026321244480.998069868393778
180.001192400730225510.002384801460451030.998807599269774
190.0007830684153014090.001566136830602820.999216931584699
200.0006125494524760030.001225098904952010.999387450547524
210.0003373990968803850.000674798193760770.99966260090312
220.001378181827866730.002756363655733470.998621818172133
230.007165342092871380.01433068418574280.992834657907129
240.02272414793378930.04544829586757870.97727585206621
250.02442168930573290.04884337861146580.975578310694267
260.02702840681069510.05405681362139020.972971593189305
270.04604249282812650.09208498565625310.953957507171873
280.05396027480212270.1079205496042450.946039725197877
290.06554079134766730.1310815826953350.934459208652333
300.1066603337622510.2133206675245020.893339666237749
310.1329506725868430.2659013451736870.867049327413157
320.1869663631769580.3739327263539160.813033636823042
330.2936969992566910.5873939985133810.70630300074331
340.2718260156983970.5436520313967940.728173984301603
350.2899113663957090.5798227327914180.710088633604291
360.2843122862958470.5686245725916940.715687713704153
370.2787209053398120.5574418106796240.721279094660188
380.4175341817005280.8350683634010560.582465818299472
390.4396489794324370.8792979588648730.560351020567563
400.4581658630232420.9163317260464850.541834136976758
410.4563817047031240.9127634094062480.543618295296876
420.5029350958055290.9941298083889430.497064904194471
430.6092654695023920.7814690609952160.390734530497608
440.8560420302049970.2879159395900060.143957969795003
450.9667254077337950.06654918453241020.0332745922662051
460.9560033022267740.08799339554645250.0439966977732262
470.9413161145053840.1173677709892320.0586838854946159
480.9815162870597660.0369674258804680.018483712940234
490.9947987426028880.01040251479422330.00520125739711163
500.9959900576615060.008019884676987140.00400994233849357
510.9894608503064510.02107829938709750.0105391496935487
520.9806737956027820.03865240879443570.0193262043972178
530.9533770673960820.09324586520783570.0466229326039179
540.9084260245979580.1831479508040830.0915739754020417
550.8157794425487820.3684411149024360.184220557451218


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.215686274509804NOK
5% type I error level260.509803921568627NOK
10% type I error level310.607843137254902NOK