Multiple Linear Regression - Estimated Regression Equation
DowJones[t] = + 4069.84036496726 + 2.69563034221495Bel20[t] -0.274651783925739Nikkei[t] + 0.0282335738045733Gold[t] + 16.2381732131674Brent[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4069.84036496726393.52068110.342100
Bel202.695630342214950.21758912.388700
Nikkei-0.2746517839257390.057291-4.7941.2e-056e-06
Gold0.02823357380457330.0156531.80370.0766590.03833
Brent16.23817321316742.6303076.173500


Multiple Linear Regression - Regression Statistics
Multiple R0.976763607583037
R-squared0.954067145098628
Adjusted R-squared0.950786226891387
F-TEST (value)290.792724729634
F-TEST (DF numerator)4
F-TEST (DF denominator)56
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation363.171721297362
Sum Squared Residuals7386047.15240499


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110539.519990.23377115513549.276228844869
210723.7810242.8235609395480.95643906047
310682.0610364.4212537052317.638746294804
410283.1910513.9339248231-230.743924823056
510377.1810421.3633485319-44.183348531887
610486.6410505.7642931453-19.1242931453103
710545.3810633.5955359588-88.2155359587744
810554.2710859.7163729885-305.446372988502
910532.5410709.944385345-177.404385344999
1010324.3110589.9481816098-265.638181609795
1110695.2510470.9012968111224.348703188928
1210827.8110512.6606856948315.149314305154
1310872.4810974.2567567799-101.776756779903
1410971.1911326.0895535664-354.899553566401
1511145.6511594.6709347923-449.020934792262
1611234.6811396.6263649462-161.946364946236
1711333.8811463.8130914815-129.933091481513
1810997.9711137.3082083021-139.338208302055
1911036.8911549.1422947644-512.25229476441
2011257.3511799.400267776-542.050267775995
2111533.5911865.9479967553-332.357996755263
2211963.1212085.6491840365-122.529184036504
2312185.1512375.6222747559-190.472274755941
2412377.6212476.1886694789-98.5686694789479
2512512.8912634.8602734827-121.97027348271
2612631.4812743.5303903145-112.050390314507
2712268.5312565.4825260694-296.95252606942
2812754.813205.7189133442-450.918913344152
2913407.7513443.1352679619-35.3852679619183
3013480.2113168.4957669491311.714233050911
3113673.2813095.126935416578.153064584028
3213239.7112480.0937404459759.616259554148
3313557.6912896.5607405173661.129259482686
3413901.2813190.7383116177710.541688382298
3513200.5812870.0428818927330.537118107277
3613406.9712873.1301971761533.839802823855
3712538.1212707.0441179882-168.924117988204
3812419.5712475.9882940432-56.4182940432316
3912193.8812750.0898138545-556.209813854503
4012656.6313105.0501799657-448.420179965655
4112812.4813007.251404041-194.771404040964
4212056.6712321.8528109297-265.182810929696
4311322.3811374.5140994152-52.1340994151898
4411530.7511111.1582827359419.591717264093
4511114.0810894.1814828565219.898517143549
469181.739274.67927133985-92.9492713398492
478614.558599.7122449142314.8377550857654
488595.568033.55088266349562.009117336507
498396.28241.39499124121154.805008758792
507690.58219.02808152942-528.52808152942
517235.477857.75792867275-622.287928672753
527992.128132.7162297864-140.596229786402
538398.378604.17118692331-205.801186923305
5485938582.3985805414810.6014194585216
558679.758659.4542034769420.295796523057
569374.639176.6775245429197.952475457096
579634.979559.7516851870475.2183148129612
589857.349909.49054043921-52.1505404392132
5910238.8310017.7584400696221.07155993036
6010433.449950.74676584248482.69323415752
6110471.249955.5628036688515.6771963312


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.04744077338263180.09488154676526360.952559226617368
90.05028824960303770.1005764992060750.949711750396962
100.03487556086558030.06975112173116060.96512443913442
110.02074799769672850.0414959953934570.979252002303271
120.009423114303635430.01884622860727090.990576885696365
130.003741589996361560.007483179992723110.996258410003638
140.001352563736396640.002705127472793270.998647436263603
150.0005105140156239860.001021028031247970.999489485984376
160.0008818648354592650.001763729670918530.999118135164541
170.001579662461999860.003159324923999720.998420337538
180.000678686662961730.001357373325923460.999321313337038
190.0003592137462267350.000718427492453470.999640786253773
200.0003155093561294050.000631018712258810.999684490643871
210.000323120192628560.000646240385257120.999676879807371
220.0004841320064156130.0009682640128312250.999515867993584
230.0002622008872203680.0005244017744407360.99973779911278
240.000375315428629570.0007506308572591410.99962468457137
250.0002002966117424650.000400593223484930.999799703388258
260.0001339745321248770.0002679490642497540.999866025467875
270.0001555477085198260.0003110954170396530.99984445229148
280.0006685108324376620.001337021664875320.999331489167562
290.009702510451931810.01940502090386360.990297489548068
300.08936047976706310.1787209595341260.910639520232937
310.2756313964196260.5512627928392520.724368603580374
320.6209432975543850.758113404891230.379056702445615
330.7835915274524360.4328169450951290.216408472547564
340.8235941956960040.3528116086079920.176405804303996
350.7800507459329460.4398985081341080.219949254067054
360.7559702816881910.4880594366236190.244029718311809
370.692911267899770.6141774642004610.30708873210023
380.6206338749883530.7587322500232950.379366125011647
390.6264587644933610.7470824710132790.373541235506639
400.684471706477040.631056587045920.31552829352296
410.737458368747070.5250832625058590.26254163125293
420.8941786445800870.2116427108398250.105821355419913
430.8497445000807360.3005109998385290.150255499919264
440.8242362015216540.3515275969566910.175763798478346
450.8477495118090720.3045009763818550.152250488190928
460.7841462007268290.4317075985463410.215853799273171
470.702421740143910.5951565197121810.29757825985609
480.9185719067026060.1628561865947880.081428093297394
490.9978785013056460.004242997388707890.00212149869435394
500.9938853284882850.01222934302343040.00611467151171522
510.9955555787618590.008888842476281610.00444442123814081
520.9895878655569530.02082426888609440.0104121344430472
530.9627544880589640.07449102388207190.037245511941036


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.391304347826087NOK
5% type I error level230.5NOK
10% type I error level260.565217391304348NOK