Multiple Linear Regression - Estimated Regression Equation
APPLE[t] = + 23.0147069811760 + 1.24781152025288e-06VOLUME[t] + 6.92603621715406MICROSOFT[t] + 0.0288863890196801NASDAQ[t] -605.881541364843INFLATION[t] -2.26245296320921CONS.CONF[t] + 3.36290179952853FED.FUNDS.RATE[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)23.014706981176029.4011980.78280.435260.21763
VOLUME1.24781152025288e-0603.2880.0013160.000658
MICROSOFT6.926036217154061.3982254.95352e-061e-06
NASDAQ0.02888638901968010.0107812.67930.0083880.004194
INFLATION-605.881541364843320.051667-1.89310.0606980.030349
CONS.CONF-2.262452963209210.264611-8.550100
FED.FUNDS.RATE3.362901799528534.0164630.83730.4040590.20203


Multiple Linear Regression - Regression Statistics
Multiple R0.85090925788459
R-squared0.724046565153704
Adjusted R-squared0.71058542199047
F-TEST (value)53.7878957510289
F-TEST (DF numerator)6
F-TEST (DF denominator)123
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation41.230775839512
Sum Squared Residuals209097.155788354


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
125.94112.107289813532-86.167289813532
228.66104.851539835078-76.191539835078
333.95154.098784512411-120.148784512411
431.0138.9325600394035-7.9225600394035
521-10.110401646263431.1104016462634
626.1960.9358156410332-34.7458156410332
725.4114.858668170205710.5513318297943
830.4732.4903872445283-2.0203872445283
912.8823.8886487920867-11.0086487920867
109.7851.2266972107049-41.4466972107049
118.25-22.122603335475330.3726033354753
127.44-54.131005038621261.5710050386212
1310.8138.8459068386762-28.0359068386762
149.1216.4541339250056-7.33413392500557
1511.03-13.770914523812724.8009145238127
1612.7445.6326947477347-32.8926947477347
179.9821.4101044631143-11.4301044631143
1811.6229.8298852732551-18.2098852732551
199.417.0519266840977-7.65192668409769
209.27-18.408464537387527.6784645373875
217.760.553193800192357.20680619980765
228.7850.705773238009-41.9257732380090
2310.6572.3251752953616-61.6751752953616
2410.9556.3578358273062-45.4078358273062
2512.3652.272717669608-39.912717669608
2610.8538.2892794234368-27.4392794234368
2711.842.073876100560949.76612389943906
2812.14-19.273714027218431.4137140272184
2911.65-27.126985424663338.7769854246633
308.86-4.1300614066897912.9900614066898
317.63-11.883917496801419.5139174968014
327.38-10.9361262623418.31612626234
337.25-24.788377788058532.0383777880585
348.0336.5906476378518-28.5606476378518
357.7535.1653652103446-27.4153652103446
367.1622.1719225461455-15.0119225461455
377.1816.4556029585753-9.2756029585753
387.5143.205241573673-35.695241573673
397.0752.5524889793366-45.4824889793366
407.1132.5745960284295-25.4645960284295
418.9832.4132598271319-23.4332598271319
429.5328.4163724064607-18.8863724064607
4310.5447.6190898599333-37.0790898599333
4411.3138.0705951634603-26.7605951634603
4510.3656.3762006163701-46.0162006163701
4611.4445.3650111959885-33.9250111959885
4710.4518.7004367711593-8.25043677115928
4810.6929.8586312706496-19.1686312706496
4911.2829.0726853240445-17.7926853240445
5011.9635.6482024961839-23.6882024961839
5113.5235.988155465713-22.468155465713
5212.8923.7105218869592-10.8205218869592
5314.0313.56012935300610.469870646993858
5416.2711.27378455318274.99621544681726
5516.174.974941425812611.1950585741874
5617.2511.75475614793355.49524385206646
5719.3821.3824388850511-2.00243888505105
5826.249.2918057854151-23.0918057854151
5933.5366.1151775542645-32.5851775542645
6032.241.0096266626957-8.8096266626957
6138.4559.8638894332297-21.4138894332297
6244.8645.9330704932263-1.07307049322626
6341.6720.119783784942121.5502162150579
6436.0647.3383881719415-11.2783881719415
6539.7633.11416354465816.64583645534192
6636.8117.168051103904119.6419488960959
6742.6528.40663729298614.2433627070140
6846.8928.008384453744618.8816155462554
6953.6160.7097258028334-7.09972580283339
7057.5981.6255742932288-24.0355742932288
7167.8262.65083448167635.16916551832365
7271.8939.725162261162932.1648377388371
7375.5167.23631043867348.27368956132664
7468.4967.48224517806271.00775482193725
7562.7261.78647072898080.933529271019227
7670.3938.671848450555931.7181515494441
7759.7719.044182169692940.7258178303071
7857.2723.619562885451133.6504371145489
7967.9628.174804771240239.7851952287598
8067.8554.174002039049813.6759979609502
8176.9869.24586888797067.7341311120294
8281.0877.2235104385823.85648956141799
8391.6680.476181186360811.1838188136392
8484.8477.96320385461396.87679614538613
8585.73110.610419358969-24.8804193589688
8684.6160.124243941014424.4857560589856
8792.9162.069519170257130.8404808297429
8899.881.865252040329817.9347479596702
89121.1990.364895701761330.8251042982387
90122.04103.68534773284018.3546522671602
91131.7688.917786179344342.8422138206557
92138.4899.325035219819639.1549647801804
93153.47117.51809546874735.9519045312526
94189.95170.30383904635519.6461609536453
95182.22167.03726409239515.1827359076046
96198.08155.57988788639142.5001121136088
97135.36170.210572672005-34.8505726720045
98125.02137.309333586984-12.2893335869840
99143.5162.695137803889-19.1951378038885
100173.95170.4034055028993.54659449710135
101188.75174.30334456779614.4466554322041
102167.44174.733135116124-7.29313511612409
103158.95155.6162683624223.33373163757757
104169.53141.94297242611327.587027573887
105113.66150.923166132943-37.263166132943
106107.59196.551523085261-88.9615230852615
10792.67150.733153409489-58.0631534094888
10885.35152.302181993855-66.9521819938554
10990.13212.101808696183-121.971808696183
11089.31146.813987310572-57.5039873105725
111105.12164.206110512103-59.0861105121031
112125.83146.642303239864-20.8123032398637
113135.81121.05825360141114.7517463985886
114142.43160.054954981629-17.6249549816289
115163.39167.191619488664-3.80161948866429
116168.21151.74060750317016.4693924968302
117185.35167.87775143381717.4722485661827
118188.5188.3815412439850.118458756015371
119199.91179.06469157632420.8453084236755
120210.73181.82393306845528.9060669315445
121192.06171.37974587549720.6802541245033
122204.62192.08102740532012.5389725946802
123235184.56088084608850.4391191539117
124261.09186.25924724348774.8307527565127
125256.88153.55716533577103.322834664230
126251.53148.082028962810103.447971037190
127257.25176.76591864290580.4840813570952
128243.1139.224251011955103.875748988045
129283.75170.344051583193113.405948416807
130300.98186.482473148243114.497526851757


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.00265787514148280.00531575028296560.997342124858517
110.0007859504652557280.001571900930511460.999214049534744
129.45105180145496e-050.0001890210360290990.999905489481985
131.65499756536042e-053.30999513072083e-050.999983450024346
141.86935219100852e-063.73870438201703e-060.999998130647809
153.60583871968644e-077.21167743937288e-070.999999639416128
164.51245599911661e-089.02491199823323e-080.99999995487544
176.01429667309514e-091.20285933461903e-080.999999993985703
186.65214944748363e-101.33042988949673e-090.999999999334785
191.11340835863572e-102.22681671727144e-100.99999999988866
201.38933705726807e-112.77867411453614e-110.999999999986107
211.46353595036418e-122.92707190072836e-120.999999999998537
222.55232757362905e-135.1046551472581e-130.999999999999745
235.67539247561571e-141.13507849512314e-130.999999999999943
241.12154246086375e-142.2430849217275e-140.999999999999989
251.49975328372773e-152.99950656745547e-150.999999999999998
261.66673847794097e-163.33347695588195e-161
271.54821804800824e-173.09643609601648e-171
282.36151854034225e-184.7230370806845e-181
292.72597295534781e-195.45194591069561e-191
302.90652269543326e-205.81304539086653e-201
314.43332188901879e-218.86664377803758e-211
326.41793414546564e-221.28358682909313e-211
332.61909393137559e-225.23818786275119e-221
343.3459127697811e-236.6918255395622e-231
353.26179967193770e-246.52359934387539e-241
364.48720590291235e-258.9744118058247e-251
371.18226771299606e-252.36453542599211e-251
381.69337869303772e-263.38675738607544e-261
392.01653258482603e-274.03306516965207e-271
403.05942245766981e-286.11884491533963e-281
415.34545332063709e-291.06909066412742e-281
425.83822448945647e-301.16764489789129e-291
435.32259377760811e-311.06451875552162e-301
445.05011635935353e-321.01002327187071e-311
455.14853638251029e-331.02970727650206e-321
468.34542704857767e-341.66908540971553e-331
471.92184844952545e-343.84369689905091e-341
486.70367926551214e-351.34073585310243e-341
491.87011578771344e-353.74023157542687e-351
501.17086367664636e-352.34172735329272e-351
512.42784048076956e-354.85568096153912e-351
521.00715687718135e-352.0143137543627e-351
534.62677177348736e-369.25354354697472e-361
545.2902296786556e-361.05804593573112e-351
552.62044385831136e-365.24088771662272e-361
562.5121289635039e-365.0242579270078e-361
571.40648584224924e-352.81297168449848e-351
587.93659113980082e-311.58731822796016e-301
592.26827449967387e-264.53654899934774e-261
605.94742554854418e-241.18948510970884e-231
613.24116233171372e-226.48232466342743e-221
629.25530905943884e-201.85106181188777e-191
631.29065878887416e-172.58131757774831e-171
641.30666398916882e-172.61332797833763e-171
657.02459226681011e-161.40491845336202e-151
661.93533748642887e-143.87067497285775e-140.99999999999998
673.45197915025763e-126.90395830051526e-120.999999999996548
681.54218957709820e-103.08437915419640e-100.999999999845781
691.88504878956781e-093.77009757913561e-090.999999998114951
707.532373679655e-091.506474735931e-080.999999992467626
718.85397858636576e-071.77079571727315e-060.999999114602141
723.43206090658258e-056.86412181316516e-050.999965679390934
730.0001048718345372430.0002097436690744860.999895128165463
740.0002103437443258360.0004206874886516720.999789656255674
750.0006321732608462890.001264346521692580.999367826739154
760.001709531474521450.003419062949042900.998290468525479
770.00175429191833310.00350858383666620.998245708081667
780.001386375286355910.002772750572711820.998613624713644
790.002949281412683990.005898562825367980.997050718587316
800.005190320020526060.01038064004105210.994809679979474
810.01288188659842620.02576377319685230.987118113401574
820.02729541547244970.05459083094489950.97270458452755
830.04751136450007750.0950227290001550.952488635499922
840.04684056942232270.09368113884464540.953159430577677
850.04278531358583230.08557062717166470.957214686414168
860.04837484807494620.09674969614989230.951625151925054
870.06382269053728610.1276453810745720.936177309462714
880.08232921017130320.1646584203426060.917670789828697
890.1336010971953630.2672021943907260.866398902804637
900.1455352903153970.2910705806307950.854464709684603
910.1650179667430530.3300359334861070.834982033256947
920.1949021075425450.389804215085090.805097892457455
930.2806722255734130.5613444511468250.719327774426587
940.4253612438155820.8507224876311640.574638756184418
950.4792452823016410.9584905646032810.520754717698359
960.9139367172063990.1721265655872020.0860632827936011
970.9774610769132310.04507784617353770.0225389230867689
980.97080420522440.05839158955120020.0291957947756001
990.9849020997103350.03019580057932970.0150979002896649
1000.987810916790960.02437816641807980.0121890832090399
1010.9890667687924050.02186646241519070.0109332312075953
1020.9912652879034310.01746942419313720.00873471209656859
1030.9890085639000150.02198287219996970.0109914360999849
1040.9862042919384160.02759141612316840.0137957080615842
1050.9843856038369560.03122879232608760.0156143961630438
1060.9888594467059870.02228110658802670.0111405532940133
1070.9865827636822810.02683447263543780.0134172363177189
1080.9919899463096480.01602010738070350.00801005369035177
1090.9884001817758450.02319963644830950.0115998182241548
1100.9792738543483040.04145229130339220.0207261456516961
1110.9647858094482210.07042838110355740.0352141905517787
1120.9690313559891450.06193728802171080.0309686440108554
1130.9769854491996520.04602910160069660.0230145508003483
1140.9790086634600440.04198267307991120.0209913365399556
1150.988008017334570.02398396533086170.0119919826654309
1160.98568487152580.02863025694840090.0143151284742004
1170.997777066120660.004445867758678620.00222293387933931
1180.99941332315240.001173353695198480.00058667684759924
1190.9975078917169750.004984216566049410.00249210828302471
1200.99951715744550.0009656851090013760.000482842554500688


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level740.666666666666667NOK
5% type I error level930.837837837837838NOK
10% type I error level1010.90990990990991NOK