Multiple Linear Regression - Estimated Regression Equation
Nojob[t] = + 8413.82307692307 -358.075427350427M1[t] -399.513675213674M2[t] -425.951923076922M3[t] -463.39017094017M4[t] -344.328418803418M5[t] -382.599999999999M6[t] -410.538247863247M7[t] -431.976495726495M8[t] -596.08141025641M9[t] -512.352991452991M10[t] + 84.2715811965813M11[t] + 108.271581196581t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8413.823076923071133.0870247.425600
M1-358.0754273504271384.593506-0.25860.7968650.398432
M2-399.5136752136741383.989686-0.28870.7738830.386941
M3-425.9519230769221383.519866-0.30790.7592990.37965
M4-463.390170940171383.184182-0.3350.7388420.369421
M5-344.3284188034181382.982733-0.2490.8042750.402137
M6-382.5999999999991382.915576-0.27670.7830410.39152
M7-410.5382478632471382.982733-0.29680.767660.38383
M8-431.9764957264951383.184182-0.31230.7559480.377974
M9-596.081410256411383.519866-0.43080.6682070.334103
M10-512.3529914529911383.989686-0.37020.7126060.356303
M1184.27158119658131444.4725090.05830.9536810.476841
t108.27158119658113.6289197.944300


Multiple Linear Regression - Regression Statistics
Multiple R0.728127318123559
R-squared0.530169391397807
Adjusted R-squared0.431257684323661
F-TEST (value)5.36002670543723
F-TEST (DF numerator)12
F-TEST (DF denominator)57
p-value5.62955250704711e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2283.80990988215
Sum Squared Residuals297299899.155128


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
171168164.01923076923-1048.01923076923
269278230.85256410256-1303.85256410256
367318312.6858974359-1581.6858974359
468508383.51923076923-1533.51923076923
567668610.85256410256-1844.85256410256
669798680.85256410256-1701.85256410256
771498761.1858974359-1612.1858974359
870678848.01923076923-1781.01923076923
971708792.1858974359-1622.1858974359
1072378984.1858974359-1747.1858974359
1172409689.08205128205-2449.08205128205
1276459713.08205128205-2068.08205128205
1376789463.27820512821-1785.27820512821
1474919530.11153846154-2039.11153846154
1578169611.94487179487-1795.94487179487
1676319682.7782051282-2051.77820512821
1783959910.11153846154-1515.11153846154
1885789980.11153846154-1402.11153846154
19895010060.4448717949-1110.44487179487
20945010147.2782051282-697.278205128204
21950110091.4448717949-590.444871794871
221008310283.4448717949-200.444871794871
231054410988.341025641-444.341025641026
241129911012.341025641286.658974358974
251204910762.53717948721286.46282051282
261286010829.37051282052030.62948717949
271338910911.20384615382477.79615384615
281379610982.03717948722813.96282051282
291450511209.37051282053295.62948717949
301472711279.37051282053447.62948717949
311464611359.70384615383286.29615384615
321486111446.53717948723414.46282051282
331501211390.70384615383621.29615384615
341542111582.70384615383838.29615384615
351522712287.62939.4
361512412311.62812.4
371495312061.79615384622891.20384615385
381503912128.62948717952910.37051282051
391512812210.46282051282917.53717948718
401522112281.29615384622939.70384615385
411487612508.62948717952367.37051282051
421451712578.62948717951938.37051282051
431460912658.96282051281950.03717948718
441473512745.79615384621989.20384615385
451457412689.96282051281884.03717948718
461463612881.96282051281754.03717948718
471510413586.8589743591517.14102564103
481439313610.858974359782.141025641026
491391913361.0551282051557.944871794872
501375113427.8884615385323.111538461538
511362813509.7217948718118.278205128205
521379213580.5551282051211.444871794872
531389213807.888461538584.1115384615384
541402413877.8884615385146.111538461538
551390813958.2217948718-50.2217948717951
561392014045.0551282051-125.055128205127
571389713989.2217948718-92.2217948717952
581375914181.2217948718-422.221794871795
591332314886.1179487179-1563.11794871795
601309714910.1179487179-1813.11794871795
611275814660.3141025641-1902.3141025641
621280614727.1474358974-1921.14743589744
631267314808.9807692308-2135.98076923077
641250014879.8141025641-2379.8141025641
651272015107.1474358974-2387.14743589744
661274915177.1474358974-2428.14743589744
671279415257.4807692308-2463.48076923077
681254415344.3141025641-2800.3141025641
691208815288.4807692308-3200.48076923077
701225815480.4807692308-3222.48076923077


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0009860865970112670.001972173194022530.999013913402989
170.001662306595167590.003324613190335190.998337693404832
180.0008547022876158890.001709404575231780.999145297712384
190.000630984262079140.001261968524158280.999369015737921
200.001540141223445650.003080282446891290.998459858776554
210.002551320151969120.005102640303938240.997448679848031
220.01048797587460780.02097595174921560.989512024125392
230.08024299278665520.160485985573310.919757007213345
240.3848998090382380.7697996180764750.615100190961762
250.7938753967535880.4122492064928240.206124603246412
260.9862801116732420.02743977665351510.0137198883267576
270.9996802334609930.0006395330780140470.000319766539007024
280.9999973156827855.36863442996753e-062.68431721498377e-06
290.9999998933290962.133418079974e-071.066709039987e-07
300.9999999873204542.53590923738668e-081.26795461869334e-08
310.999999999224431.55114072411773e-097.75570362058866e-10
320.9999999999309881.38023107847067e-106.90115539235336e-11
330.9999999999716485.67039579400169e-112.83519789700085e-11
340.999999999945491.09020768479309e-105.45103842396545e-11
350.9999999999732455.3510827601246e-112.6755413800623e-11
360.9999999999191061.61788480891111e-108.08942404455555e-11
370.9999999996921666.15668027082943e-103.07834013541472e-10
380.9999999987515332.49693425327649e-091.24846712663825e-09
390.999999996580656.8387005447353e-093.41935027236765e-09
400.9999999938590041.22819921069175e-086.14099605345875e-09
410.9999999809297193.81405621054749e-081.90702810527374e-08
420.999999990648271.8703459334527e-089.35172966726348e-09
430.9999999937868531.24262943618448e-086.21314718092242e-09
440.9999999875408432.49183140561973e-081.24591570280987e-08
450.9999999710670575.78658852125607e-082.89329426062804e-08
460.9999999356041421.28791716608527e-076.43958583042637e-08
470.999999931931631.36136739610303e-076.80683698051514e-08
480.9999996490314157.01937170439255e-073.50968585219627e-07
490.9999985748070462.85038590741593e-061.42519295370796e-06
500.9999967093152546.58136949112487e-063.29068474556244e-06
510.9999932393472311.3521305536901e-056.76065276845049e-06
520.9999479952973980.0001040094052050055.20047026025025e-05
530.9996922215168040.0006155569663918480.000307778483195924
540.9976334477267920.004733104546415680.00236655227320784


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level340.871794871794872NOK
5% type I error level360.923076923076923NOK
10% type I error level360.923076923076923NOK