Multiple Linear Regression - Estimated Regression Equation
2011-III[t] = -18.9779124693251 + 2.48119079055184`2010-I`[t] + 0.135764318755094`2010-II`[t] -1.20369075650056`2010-III`[t] + 0.450866640842221`2010-IV`[t] + 2.24822610044223`2011-I`[t] -0.846583834938722`2011-II`[t] -1.99524909389644`2011-IV`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-18.9779124693251141.289693-0.13430.8935920.446796
`2010-I`2.481190790551840.6031714.11360.0001195.9e-05
`2010-II`0.1357643187550940.3884490.34950.7279150.363958
`2010-III`-1.203690756500561.160068-1.03760.303550.151775
`2010-IV`0.4508666408422210.3956171.13970.2588850.129443
`2011-I`2.248226100442230.471354.76981.2e-056e-06
`2011-II`-0.8465838349387220.568112-1.49020.1413320.070666
`2011-IV`-1.995249093896440.190183-10.491200


Multiple Linear Regression - Regression Statistics
Multiple R0.994547797361699
R-squared0.989125321237006
Adjusted R-squared0.987877407280597
F-TEST (value)792.623013916146
F-TEST (DF numerator)7
F-TEST (DF denominator)61
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1039.2738924807
Sum Squared Residuals65885503.6391114


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13747137852.9966997555-381.996699755488
23616036791.2972160254-631.297216025446
391978816.01944150986380.980558490143
41051296.127887014367754.872112985633
534803900.89447299056-420.894472990558
64-0.8226623490696084.82266234906961
71-19.702637397966220.7026373979662
810-12.528967656931822.5289676569318
9196277.996507657913-81.9965076579127
1010071056.84302826805-49.843028268055
1119822168.91451346588-186.914513465882
12281317.162177934359-36.1621779343592
1376182.97532710569-106.97532710569
1418611359.58800719926501.411992800739
1527293001.98230030246-272.982300302456
16102284.862679728689-182.862679728689
1726272698.14170810444-71.1417081044412
1821-16.670685735446837.6706857354468
1914211768.33858662678-347.338586626784
202433925633.2326258938-1294.23262589383
2195229774.99616784028-252.99616784028
221712792.83178448692-2621.83178448692
231350811275.97313693932232.02686306071
249751428.5168594408-453.516859440798
2527-15.853131940945242.8531319409452
26137280.538791705606-143.538791705606
27768-1791.117390992432559.11739099243
281221919.83270991248-1797.83270991248
29292339.505455114736-47.5054551147363
304231868.36432902682-1445.36432902682
3116161.214467264217-145.214467264217
32860-1006.772235701971866.77223570197
3312-441.077688315756453.077688315756
34860-600.0693308279941460.06933082799
353747137852.9966997555-381.996699755497
363593334105.76522479121827.23477520878
3765046038.00403193238465.995968067619
38638460.571360426415177.428639573584
3921411526.11187952132614.888120478681
40163159.1187977053633.8812022946367
41851405.952200157381445.047799842619
42886859.27625318875426.7237468112455
433-15.166339973558518.1663399735585
4423839.9397700410283198.060229958972
45450684.841448546757-234.841448546757
465780.62515790203-23.62515790203
47325429.023296975716-104.023296975716
4868132.993693536023-64.9936935360228
49343469.265109047367-126.265109047367
5029322820.59874086583111.401259134167
51132379.841400346882-247.841400346882
5227992422.23029469047376.769705309533
53814613.369688234796200.630311765204
542472624453.6538031152272.34619688477
55919910232.0766219755-1033.07662197547
561722169.32792461938-1997.32792461938
571385610374.70177815773481.29822184229
5813011558.53178275811-257.531782758107
5921-20.281764233614441.2817642336144
6017740.3623738062138136.637626193786
6113081549.38080691794-241.380806917937
62151118.0185425832132.9814574167903
6312641320.93737023279-56.9373702327878
641165-100.6515436098851265.65154360988
651019793.710033570563225.289966429437
6694352.358196889134-258.358196889134
674132566.37099449568-2153.37099449568
68-6465.6044271412459-129.604427141246
694892464.00779349345-1975.00779349345


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
117.25796249277763e-050.0001451592498555530.999927420375072
122.84136399496661e-065.68272798993322e-060.999997158636005
136.06916581316241e-071.21383316263248e-060.999999393083419
144.63045924298048e-079.26091848596097e-070.999999536954076
155.44237869928072e-081.08847573985614e-070.999999945576213
164.00036219668597e-098.00072439337195e-090.999999995999638
172.55952362199607e-105.11904724399215e-100.999999999744048
182.25184051080713e-114.50368102161426e-110.999999999977482
192.65062613305189e-095.30125226610378e-090.999999997349374
202.35831302399914e-094.71662604799829e-090.999999997641687
213.87001707751555e-077.74003415503111e-070.999999612998292
220.0007432918018977320.001486583603795460.999256708198102
230.004738068920072570.009476137840145150.995261931079927
240.002562784783443750.005125569566887510.997437215216556
250.001211507111015140.002423014222030270.998788492888985
260.0006017079840965380.001203415968193080.999398292015903
270.001989666043697080.003979332087394160.998010333956303
280.005465485262848150.01093097052569630.994534514737152
290.003340300201021990.006680600402043990.996659699798978
300.366717067094340.7334341341886810.63328293290566
310.2953000979810570.5906001959621150.704699902018943
320.6965330329124610.6069339341750780.303466967087539
330.6421548328631050.7156903342737890.357845167136895
340.8587508114839960.2824983770320070.141249188516004
350.8315182093528850.3369635812942310.168481790647115
360.8933201646257050.2133596707485890.106679835374295
370.8652855999046070.2694288001907870.134714400095394
380.8462044400040220.3075911199919570.153795559995978
390.8250158124814160.3499683750371670.174984187518584
400.7715035102889060.4569929794221880.228496489711094
410.7916859717478460.4166280565043080.208314028252154
420.7338487028713850.5323025942572310.266151297128615
430.6701290194144720.6597419611710550.329870980585527
440.6099680924728360.7800638150543280.390031907527164
450.680532299167850.63893540166430.31946770083215
460.6205352491682170.7589295016635660.379464750831783
470.549309854970750.90138029005850.45069014502925
480.4590169444732240.9180338889464490.540983055526776
490.3792306823897970.7584613647795940.620769317610203
500.3190958798898270.6381917597796540.680904120110173
510.2418626656512270.4837253313024540.758137334348773
520.848655339385930.3026893212281410.15134466061407
530.7748393572411030.4503212855177940.225160642758897
540.7746896666074830.4506206667850350.225310333392517
550.9984943665807730.003011266838454950.00150563341922747
560.9993031649775610.001393670044878890.000696835022439447
570.9995480537779520.0009038924440955450.000451946222047773
580.9978951603146930.004209679370614840.00210483968530742


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.458333333333333NOK
5% type I error level230.479166666666667NOK
10% type I error level230.479166666666667NOK