Multiple Linear Regression - Estimated Regression Equation
IndGez[t] = + 3.875 + 0.283333333333334InvlCrisis[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.8750.16243623.855600
InvlCrisis0.2833333333333340.3509010.80740.4229530.211477


Multiple Linear Regression - Regression Statistics
Multiple R0.109221891825004
R-squared0.0119294216538329
Adjusted R-squared-0.0063681816488741
F-TEST (value)0.651966350809897
F-TEST (DF numerator)1
F-TEST (DF denominator)54
p-value0.422953016391424
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.07747704853675
Sum Squared Residuals62.6916666666667


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.43.87500000000001-2.47500000000001
21.63.875-2.275
31.73.875-2.175
423.875-1.875
523.875-1.875
62.13.875-1.775
72.53.875-1.375
82.53.875-1.375
92.63.875-1.275
102.73.875-1.175
113.73.875-0.175000000000000
1243.8750.125000000000000
1353.8751.125
145.13.8751.225
155.13.8751.225
1653.8751.125
175.13.8751.225
184.73.8750.825
194.53.8750.625
204.53.8750.625
214.63.8750.725
224.63.8750.725
234.63.8750.725
244.63.8750.725
255.33.8751.425
265.43.8751.525
275.33.8751.425
285.23.8751.325
2953.8751.125
304.23.8750.325000000000001
314.33.8750.425
324.33.8750.425
334.33.8750.425
3443.8750.125000000000000
3543.8750.125000000000000
364.13.8750.225
374.43.8750.525000000000001
383.63.875-0.275000000000000
393.73.875-0.175000000000000
403.83.875-0.075
413.33.875-0.575
423.33.875-0.575
433.33.875-0.575
443.53.875-0.375
453.34.15833333333333-0.858333333333334
463.34.15833333333333-0.858333333333334
473.44.15833333333333-0.758333333333334
483.44.15833333333333-0.758333333333334
495.24.158333333333331.04166666666667
505.34.158333333333331.14166666666667
514.84.158333333333330.641666666666666
5254.158333333333330.841666666666667
534.64.158333333333330.441666666666666
544.64.158333333333330.441666666666666
553.54.15833333333333-0.658333333333333
563.54.15833333333333-0.658333333333333


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.05270943985635020.1054188797127000.94729056014365
60.03379426735935720.06758853471871450.966205732640643
70.06512742953454080.1302548590690820.934872570465459
80.0796726046585470.1593452093170940.920327395341453
90.1046582463610760.2093164927221530.895341753638924
100.1471426361469510.2942852722939020.85285736385305
110.5371056525582340.9257886948835310.462894347441766
120.8145055277557190.3709889444885620.185494472244281
130.9840934022014890.03181319559702270.0159065977985114
140.9979275460908910.004144907818217240.00207245390910862
150.9995189906343630.0009620187312730720.000481009365636536
160.9997931722191920.0004136555616170420.000206827780808521
170.9999049376269320.0001901247461358909.50623730679448e-05
180.9998970626839220.0002058746321551620.000102937316077581
190.999850301898580.0002993962028390920.000149698101419546
200.9997739763509870.0004520472980256220.000226023649012811
210.9996776060543620.000644787891276460.00032239394563823
220.9995284557464850.0009430885070300530.000471544253515027
230.999299525465690.001400949068620480.000700474534310241
240.9989512433017060.002097513396587840.00104875669829392
250.9993500733351560.001299853329688680.000649926664844341
260.9996924705897560.0006150588204889620.000307529410244481
270.9998451063750870.0003097872498264440.000154893624913222
280.9999195982405110.0001608035189771418.04017594885707e-05
290.9999461979498320.0001076041003355165.38020501677579e-05
300.999888049602120.0002239007957599980.000111950397879999
310.9997941283051760.000411743389647910.000205871694823955
320.9996388028307980.0007223943384049710.000361197169202485
330.9993990362568760.001201927486248100.000600963743124051
340.9988055900583630.002388819883274980.00119440994163749
350.9977260434145070.004547913170985710.00227395658549285
360.9961180345451080.007763930909784160.00388196545489208
370.9955230327797260.008953934440547150.00447696722027357
380.991482471028810.01703505794238080.0085175289711904
390.9847311239359260.03053775212814810.0152688760640740
400.9750395071853970.04992098562920670.0249604928146034
410.9578038527852280.0843922944295450.0421961472147725
420.9312383809122480.1375232381755050.0687616190877525
430.8925678731564540.2148642536870920.107432126843546
440.8355941269569460.3288117460861070.164405873043054
450.8147123167514110.3705753664971790.185287683248589
460.8052022025111080.3895955949777850.194797797488893
470.7982581246613170.4034837506773670.201741875338684
480.8201678979889670.3596642040220650.179832102011033
490.7857934181156620.4284131637686770.214206581884338
500.7806993749292220.4386012501415560.219300625070778
510.6706124076698930.6587751846602140.329387592330107


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.51063829787234NOK
5% type I error level280.595744680851064NOK
10% type I error level300.638297872340426NOK