Home » date » 2010 » Dec » 24 »

*The author of this computation has been verified*
R Software Module: / (opens new window with default values)
Title produced by software: Multiple Regression
Date of computation: Fri, 24 Dec 2010 13:41:24 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki.htm/, Retrieved Fri, 24 Dec 2010 14:39:32 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Multiple Linear Regression - Estimated Regression Equation
Unemployment[t] = -11.0719345583423 + 0.088032581948727CPI[t] -0.596761895480138Inflation[t] -0.000114964991186943Import[t] + 0.000673173337070053Export[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-11.07193455834236.107509-1.81280.0744740.037237
CPI0.0880325819487270.0342152.57290.0123750.006188
Inflation-0.5967618954801380.079307-7.524800
Import-0.0001149649911869434.2e-05-2.71780.0084140.004207
Export0.0006731733370700530.0002033.32180.0014710.000735


Multiple Linear Regression - Regression Statistics
Multiple R0.87163810343932
R-squared0.759752983367295
Adjusted R-squared0.744968551574513
F-TEST (value)51.3887171327223
F-TEST (DF numerator)4
F-TEST (DF denominator)65
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.09056476355540
Sum Squared Residuals77.3065477280625


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15.33.643766338749451.65623366125055
25.44.127861701394311.27213829860569
35.24.450242197523190.749757802476811
45.24.075165313384011.12483468661599
55.14.349785443105880.750214556894121
654.398074271751250.601925728248745
754.188778057713850.811221942286153
84.93.977848101873300.922151898126696
953.083209606554941.91679039344506
1053.689899112796981.31010088720302
1154.243398568401620.756601431598376
124.94.663777258084120.236222741915882
134.73.832310063762990.867689936237008
144.84.95459896115926-0.154598961159261
154.75.42787657149729-0.727876571497287
164.74.93021956480729-0.230219564807288
174.64.68534138871137-0.0853413887113693
184.64.350486833581560.249513166418440
194.74.76978934902411-0.0697893490241103
204.74.626002983729440.0739970162705583
214.55.39391928501612-0.893919285016122
224.45.82127595942359-1.42127595942359
234.55.39161566602043-0.891615666020429
244.45.78207711594124-1.38207711594124
254.65.51312681683363-0.913126816833626
264.55.80120453272777-1.30120453272777
274.46.38661926875689-1.98661926875689
284.55.96917314664761-1.46917314664761
294.46.17450503552661-1.77450503552661
304.66.2963786466918-1.69637864669181
314.65.70962892316165-1.10962892316165
324.66.52608936268465-1.92608936268465
334.75.82858999407637-1.12858999407637
344.75.30553834747169-0.605538347471693
354.75.19202471619143-0.492024716191429
3656.44222236453273-1.44222236453273
3755.68518619467759-0.685186194677594
384.86.22462043416204-1.42462043416204
395.17.00775911361506-1.90775911361506
4056.30894712610146-1.30894712610146
415.46.55190887376233-1.15190887376233
425.56.149860207069-0.649860207069003
435.85.554818600919930.245181399080073
446.15.526098736884790.57390126311521
456.24.976477737478161.22352226252184
466.65.992045387243510.607954612756488
476.97.2280770174133-0.328077017413308
487.47.93839298627247-0.538392986272472
497.77.453121588635850.246878411364148
508.28.43629965219465-0.236299652194652
518.69.19589598674138-0.595895986741384
528.99.09615229520044-0.196152295200439
539.49.44278996659638-0.0427899665963763
549.59.74858348780164-0.248583487801642
559.49.73504445717042-0.335044457170416
569.79.560389474102550.139610525897452
579.89.383748076915160.416251923084844
5810.19.29895117197470.801048828025306
59108.671895531390941.32810446860906
60108.876454343088091.12354565691191
619.78.176049426134671.52395057386533
629.78.659916311334691.04008368866531
639.78.89839814467290.801601855327097
649.98.241985480946781.65801451905322
659.78.136901214333121.56309878566688
669.58.23134925143761.2686507485624
679.58.500672516386960.999327483613035
689.68.286279001183241.31372099881676
699.68.279264444343841.32073555565616
709.69.74324489250393-0.143244892503929


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.0004949577456964490.0009899154913928980.999505042254303
94.29981642254462e-058.59963284508925e-050.999957001835775
101.61350558111365e-053.2270111622273e-050.999983864944189
112.22287783528556e-064.44575567057112e-060.999997777122165
123.63541665512902e-077.27083331025804e-070.999999636458335
131.24353878019616e-062.48707756039231e-060.99999875646122
141.93981569377450e-073.87963138754899e-070.99999980601843
152.48262665574746e-084.96525331149491e-080.999999975173733
166.67018604696201e-091.33403720939240e-080.999999993329814
171.15527129351079e-092.31054258702158e-090.999999998844729
182.78690220494841e-105.57380440989683e-100.99999999972131
191.81668604129252e-103.63337208258504e-100.999999999818331
201.71235935236908e-103.42471870473816e-100.999999999828764
212.73571198606896e-115.47142397213791e-110.999999999972643
225.46131305634625e-121.09226261126925e-110.999999999994539
231.07679792988648e-122.15359585977296e-120.999999999998923
244.27155149592156e-138.54310299184311e-130.999999999999573
252.38764727244519e-134.77529454489039e-130.999999999999761
266.04816663873705e-141.20963332774741e-130.99999999999994
271.00286712244307e-142.00573424488615e-140.99999999999999
284.2135048092817e-158.4270096185634e-150.999999999999996
299.97559858414151e-161.99511971682830e-150.999999999999999
301.90852446213023e-143.81704892426046e-140.99999999999998
311.27833777509582e-142.55667555019165e-140.999999999999987
324.32869522000716e-148.65739044001432e-140.999999999999957
339.29599050814612e-141.85919810162922e-130.999999999999907
341.12593908987427e-132.25187817974854e-130.999999999999887
358.0463709382234e-141.60927418764468e-130.99999999999992
361.24621122202364e-122.49242244404729e-120.999999999998754
372.95477720478734e-125.90955440957469e-120.999999999997045
381.15884380722128e-122.31768761444256e-120.99999999999884
391.52714181695290e-113.05428363390579e-110.999999999984729
406.68000350007444e-111.33600070001489e-100.9999999999332
412.48001705911171e-084.96003411822341e-080.99999997519983
422.53445649284372e-065.06891298568743e-060.999997465543507
430.0001326200074047990.0002652400148095990.999867379992595
440.006231189794544090.01246237958908820.993768810205456
450.03103310945490970.06206621890981940.96896689054509
460.6098632357182340.7802735285635320.390136764281766
470.9652253140704160.06954937185916850.0347746859295843
480.988010824568680.02397835086263970.0119891754313199
490.9835056528663770.03298869426724550.0164943471336227
500.9921914927049660.01561701459006860.0078085072950343
510.9990364180511180.001927163897763670.000963581948881833
520.9999371564174550.0001256871650904436.28435825452216e-05
530.9999749464561585.01070876830934e-052.50535438415467e-05
540.9999487248335360.0001025503329286135.12751664643066e-05
550.9999756969933194.86060133616989e-052.43030066808494e-05
560.9999506559040929.86881918165523e-054.93440959082762e-05
570.9999241828239280.0001516343521434597.58171760717297e-05
580.9999566879710868.66240578278326e-054.33120289139163e-05
590.9999885804514612.28390970774649e-051.14195485387325e-05
600.9999930319246161.39361507681172e-056.9680753840586e-06
610.9999160898268020.0001678203463958728.39101731979362e-05
620.999618656169780.0007626876604400990.000381343830220050


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level480.872727272727273NOK
5% type I error level520.945454545454545NOK
10% type I error level540.981818181818182NOK
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/108qrj1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/108qrj1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/1ugcs1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/1ugcs1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/2ugcs1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/2ugcs1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/3ugcs1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/3ugcs1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/4n7bd1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/4n7bd1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/5n7bd1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/5n7bd1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/6n7bd1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/6n7bd1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/78qrj1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/78qrj1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/88qrj1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/88qrj1293198077.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/98qrj1293198077.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/24/t1293197961ggilfhahowkfjki/98qrj1293198077.ps (open in new window)


 
Parameters (Session):
 
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
 
R code (references can be found in the software module):
 





Copyright

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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