Multiple Linear Regression - Estimated Regression Equation
PS[t] = + 5.35704271447744 -1.24808412877396Tg[t] -0.394449669083795D[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.357042714477440.6163258.691900
Tg-1.248084128773960.339201-3.67950.0006460.000323
D-0.3944496690837950.111582-3.53510.000990.000495


Multiple Linear Regression - Regression Statistics
Multiple R0.707576022213133
R-squared0.50066382721096
Adjusted R-squared0.477438888941702
F-TEST (value)21.5571650355548
F-TEST (DF numerator)2
F-TEST (DF denominator)43
p-value3.27680130030039e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.984607454270796
Sum Squared Residuals41.6864290772415


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
122.14774203133347-0.147742031333468
21.80.2906185143697271.50938148563027
30.70.964474218591482-0.264474218591482
43.93.03546622593020.864533774069797
510.5426048565489310.457395143451069
63.62.716864663927330.883135336072668
71.42.01495801679839-0.614958016798389
81.51.221647547238420.278352452761578
90.70.3286028750379910.371397124962009
102.12.93664136950106-0.836641369501056
1102.76196840599099-2.76196840599099
124.12.542191700417261.55780829958274
131.21.9731502623328-0.773150262332796
140.30.1372045921736680.162795407826332
150.50.676125167281224-0.176125167281224
163.43.065300336387990.334699663612011
171.51.85316405607685-0.353164056076852
183.42.367518736907191.03248126309281
190.81.49211874799015-0.692118747990151
200.80.23171041353650.5682895864635
211.42.12900312129408-0.729003121294076
2222.84213554813822-0.842135548138225
231.91.93410285224827-0.0341028522482712
242.43.11902145075348-0.719021450753482
252.82.110345407012170.689654592987832
261.32.57770163320542-1.27770163320542
2722.33012211258589-0.330122112585892
285.63.615684060190551.98431593980945
293.12.367599931416590.732400068583409
3010.0855430389778280.914456961022172
311.81.88959503626143-0.0895950362614333
320.90.99545613980117-0.0954561398011701
331.83.03243960674271-1.23243960674272
341.91.207319769839490.692680230160508
350.91.52344950851563-0.623449508515629
362.62.523452790377870.0765472096221297
372.42.82087650682421-0.420876506824214
381.21.80383192190842-0.603831921908418
390.91.63242170761449-0.732421707614494
400.51.2379720385307-0.7379720385307
410.60.66524782454344-0.0652478245434406
422.32.34886102262528-0.0488610226252837
430.51.30181468938566-0.80181468938566
442.62.492881716196060.107118283803938
450.60.88091899252012-0.28091899252012
466.63.532128834119183.06787116588082


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.09477931752121190.1895586350424240.905220682478788
70.4839625692565540.9679251385131080.516037430743446
80.3349107921204130.6698215842408260.665089207879587
90.2174906503179550.4349813006359090.782509349682045
100.2235912288257490.4471824576514980.776408771174251
110.7639826311936990.4720347376126030.236017368806301
120.8956280650678120.2087438698643750.104371934932188
130.8774776987545240.2450446024909520.122522301245476
140.8276059081582630.3447881836834730.172394091841737
150.7598728993121630.4802542013756740.240127100687837
160.7148440005201620.5703119989596760.285155999479838
170.6457042055291850.7085915889416310.354295794470815
180.6501563626282560.6996872747434870.349843637371744
190.6064058889664530.7871882220670950.393594111033547
200.5513094220395630.8973811559208740.448690577960437
210.500597308573930.9988053828521390.499402691426069
220.4717130517942950.943426103588590.528286948205705
230.3824680873821490.7649361747642970.617531912617851
240.3513494207361670.7026988414723340.648650579263833
250.312363149797250.62472629959450.68763685020275
260.3799271370532550.759854274106510.620072862946745
270.3168889401682340.6337778803364680.683111059831766
280.5277197390226380.9445605219547230.472280260977361
290.4843286849203520.9686573698407030.515671315079648
300.5553059125374880.8893881749250240.444694087462512
310.4596862652846340.9193725305692690.540313734715366
320.375204992899720.7504099857994390.62479500710028
330.6247619459753920.7504761080492160.375238054024608
340.658315712125870.6833685757482580.341684287874129
350.6830560618842260.6338878762315480.316943938115774
360.8444051823003740.3111896353992520.155594817699626
370.8730989906841050.2538020186317910.126901009315895
380.7838325125171150.432334974965770.216167487482885
390.6951480162918470.6097039674163070.304851983708153
400.5717919047903240.8564161904193520.428208095209676


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK