Multiple Linear Regression - Estimated Regression Equation
2010-I[t] = + 13.553980866236 + 0.232362179271225`2010-II`[t] + 1.35518866840613`2010-III`[t] + 0.0216853276726292`2010-IV`[t] -0.635946736880319`2011-I`[t] -0.211294046882823`2011-II`[t] + 0.0875230339979512`2011-III`[t] + 0.208325086554488`2011-IV\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13.55398086623626.48350.51180.6106460.305323
`2010-II`0.2323621792712250.0666953.4840.0009210.00046
`2010-III`1.355188668406130.13491410.044800
`2010-IV`0.02168532767262920.0750380.2890.7735690.386785
`2011-I`-0.6359467368803190.064264-9.895800
`2011-II`-0.2112940468828230.105202-2.00850.0490280.024514
`2011-III`0.08752303399795120.0212774.11360.0001195.9e-05
`2011-IV\r`0.2083250865544880.053543.8910.000250.000125


Multiple Linear Regression - Regression Statistics
Multiple R0.999082961055013
R-squared0.998166763070453
Adjusted R-squared0.997956391619522
F-TEST (value)4744.7824248504
F-TEST (DF numerator)7
F-TEST (DF denominator)61
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation195.191597897025
Sum Squared Residuals2324085.35326522


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11889718832.94445087864.055549121994
21751817567.540644372-49.5406443720448
386328756.21859433832-124.21859433832
4832880.931816268165-48.9318162681647
533513559.61102454585-208.611024545848
6816.5123741797091-8.5123741797091
7114.8201494649298-13.8201494649298
8725.4688882886912-18.4688882886912
9217239.896217407637-22.8962174076369
10911986.36767762632-75.3676776263201
1119322054.68668501911-122.686685019106
12274301.046943206313-27.0469432063133
13131124.9729896709236.02701032907749
1417081917.78473487111-209.784734871114
1526092326.9205938041282.0794061959
16133116.15433321832216.845666781678
1724762224.32024145201251.679758547986
181039.6681805484726-29.6681805484726
1915101434.3901747541575.6098252458489
2064276170.11325720182256.886742798179
2138124432.03789633828-620.03789633828
22724-46.0491080642611770.049108064261
2315601617.75581177142-57.7558117714155
241563.82917450514424152.170825494856
2539.79013977667915-6.79013977667915
26172221.729596728878-49.7295967288785
2765296.864797329382-231.864797329382
28593650.093843821845-57.0938438218448
29281303.712173106989-22.712173106989
3011911078.69068190161112.309318098394
31723.5840720161529668.415927983847
32113193.221902468829-80.2219024688291
331986.3943668675712-67.3943668675712
3497150.504271167906-53.5042711679063
351889718832.94445087864.055549121991
361677016685.801570829584.1984291705087
3761326038.6120734052393.3879265947727
38648523.535429343122124.464570656878
3917391890.84689129117-151.846891291173
40160187.553733400319-27.5537334003185
41621640.971625297798-19.9716252977985
42804902.231092639715-98.2310926397155
43316.7275114026543-13.7275114026543
44150196.731611231868-46.7316112318685
45549642.427965128011-93.4279651280105
4695161.618581526138-66.618581526138
47354395.298887816451-41.2988878164515
48100113.462729341329-13.4627293413285
49342390.232919150546-48.2329191505462
5028542646.19072827997207.809271720026
51167167.751486831863-0.751486831863091
5226872491.92738460802195.072615391977
53645766.579794990305-121.579794990305
5461135999.79944239228113.200557607715
5535673869.51272361349-302.512723613494
56472-44.7772065419315516.777206541931
5716652086.98580975667-421.985809756665
58328158.888855019616169.111144980384
5907.96327631361681-7.96327631361681
6081-9.651891729917390.6518917299173
6113221410.80903367528-88.809033675279
62154186.845211324054-32.8452113240537
6312771359.60863978481-82.6086397848139
6411271003.6238082236123.376191776403
65456684.225334905623-228.225334905623
66224148.86991895370775.1300810462927
6714441322.6203329702121.379667029801
683-20.166338030434623.1663380304346
6914441386.8669911248957.133008875109


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.0002985443386494350.000597088677298870.999701455661351
120.0001040973581178960.0002081947162357910.999895902641882
130.0001441756356694630.0002883512713389260.999855824364331
145.38307061795721e-050.0001076614123591440.99994616929382
157.90656750898492e-061.58131350179698e-050.999992093432491
168.41340333149288e-061.68268066629858e-050.999991586596669
171.56113515531151e-063.12227031062303e-060.999998438864845
182.74560293067454e-075.49120586134908e-070.999999725439707
191.86943784411217e-073.73887568822434e-070.999999813056216
206.7344452713212e-071.34688905426424e-060.999999326555473
215.4032898265481e-061.08065796530962e-050.999994596710173
220.05369730454645520.107394609092910.946302695453545
230.0377911005455290.0755822010910580.962208899454471
240.08724513745347860.1744902749069570.912754862546521
250.05738498111221980.114769962224440.94261501888778
260.05911976191850620.1182395238370120.940880238081494
270.2856403667711090.5712807335422170.714359633228891
280.2847858671412750.5695717342825510.715214132858724
290.2295584823985290.4591169647970570.770441517601471
300.4313202897774370.8626405795548740.568679710222563
310.3632797059532430.7265594119064850.636720294046757
320.3146187136732780.6292374273465560.685381286326722
330.2608069713434980.5216139426869970.739193028656502
340.22631940522130.45263881044260.7736805947787
350.1756801828872560.3513603657745120.824319817112744
360.5824577183257160.8350845633485670.417542281674284
370.5363011837008540.9273976325982920.463698816299146
380.469013932709510.9380278654190190.53098606729049
390.4753611753116160.9507223506232310.524638824688384
400.3989637432584650.7979274865169310.601036256741535
410.3524190297830450.704838059566090.647580970216955
420.2873788789088970.5747577578177940.712621121091103
430.2233942503288820.4467885006577640.776605749671118
440.1721288323211740.3442576646423480.827871167678826
450.1422437123785460.2844874247570910.857756287621454
460.1090828439198990.2181656878397970.890917156080101
470.07551272473128210.1510254494625640.924487275268718
480.04997905452099650.09995810904199290.950020945479004
490.03217336787578410.06434673575156810.967826632124216
500.03433212299897630.06866424599795260.965667877001024
510.02036013156565060.04072026313130120.979639868434349
520.4731298533467990.9462597066935990.526870146653201
530.3777443927685410.7554887855370820.622255607231459
540.8048313911130130.3903372177739740.195168608886987
550.9993915184537750.001216963092449730.000608481546224867
560.9982241216213810.003551756757238940.00177587837861947
570.996368205770110.007263588459779140.00363179422988957
580.9857977951024120.02840440979517520.0142022048975876


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level140.291666666666667NOK
5% type I error level160.333333333333333NOK
10% type I error level200.416666666666667NOK