Multiple Linear Regression - Estimated Regression Equation
Intrinsic[t] = + 54.2386642084418 -0.587744609266962Doubts[t] + 0.0524751067601769PerantalExpectations[t] -0.423549311998046ParentalCriticism[t] + 0.371892413952631Organization[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)54.23866420844189.9980495.42491e-060
Doubts-0.5877446092669620.452204-1.29970.1973790.09869
PerantalExpectations0.05247510676017690.3954550.13270.8947630.447382
ParentalCriticism-0.4235493119980460.546946-0.77440.4409550.220477
Organization0.3718924139526310.325551.14230.2566740.128337


Multiple Linear Regression - Regression Statistics
Multiple R0.219898124366846
R-squared0.0483551851000568
Adjusted R-squared0.00136037942598555
F-TEST (value)1.02894744230714
F-TEST (DF numerator)4
F-TEST (DF denominator)81
p-value0.39745463009183
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.0129215191381
Sum Squared Residuals9824.03967132238


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16856.492103803269311.5078961967307
24851.7001217712323-3.70012177123229
34453.4187842551163-9.41878425511632
46753.420420672545813.5795793274542
54653.8790011481879-7.8790011481879
65450.26153008005263.73846991994739
76154.42519593260986.57480406739024
85251.5013979418940.498602058106046
94651.1740768718582-5.17407687185818
105552.86663770242082.13336229757916
115257.5131892205945-5.51318922059449
127654.049806376527821.9501936234722
134954.5301461461301-5.53014614613011
143056.695485569109-26.6954855691090
157552.281914612225622.7180853877744
165149.76297193564211.2370280643579
175053.3059302787526-3.30593027875264
183857.0770782092518-19.0770782092518
194747.9279313247481-0.927931324748048
205255.9116960639182-3.91169606391823
216654.095987129357211.9040128706428
226654.095987129357211.9040128706428
233352.7321324704725-19.7321324704725
244851.1754619735004-3.17546197350041
255753.41226559391523.58773440608477
266455.11568744504018.88431255495992
275855.0099190228052.99008097719503
285949.99751812882229.0024818711778
294252.1312592689335-10.1312592689335
303952.3283466808423-13.3283466808423
315952.77040946045866.22959053954143
323757.570230993986-20.5702309939861
334952.1244892919451-3.1244892919451
348061.393602715458118.6063972845419
356250.277273344386411.7227266556136
364454.1560504218205-10.1560504218205
375351.43481598822951.56518401177046
385855.64336876184372.35663123815628
396954.051100208300114.9488997916999
406353.8760708989869.12392910101397
413649.6811223407015-13.6811223407015
423854.1560504218205-16.1560504218205
434654.0524853099424-8.05248530994237
445652.49801812332733.50198187667275
453751.1882479801153-14.1882479801153
465150.97403220223050.0259677977695099
474455.3831965383998-11.3831965383998
485855.6436200776312.35637992236898
493754.0000102031822-17.0000102031822
506554.423559515180210.5764404848198
514854.8995839339385-6.89958393393846
525353.838836424985-0.838836424985029
535153.2943423193456-2.29434231934557
543952.5974921916316-13.5974921916316
556456.3893569001067.61064309989403
564755.3685227985681-8.36852279856812
574756.4988737802577-9.49887378025772
586447.877065626900416.1229343730996
595957.28477532593561.71522467406445
605452.72095587277011.27904412722986
615555.106965473482-0.106965473482001
627255.064030546994716.9359694530053
635853.87874983240064.12125016759940
645952.49638170589776.50361829410227
653648.6665555845774-12.6665555845774
666256.60757245169475.39242754830529
676359.21056803357583.78943196642417
685055.4275165665294-5.42751656652939
697055.746115665007114.2538843349929
705953.88608670231655.11391329768354
717352.787789142221920.2122108577781
726255.33179095614176.66820904385829
734152.7225922901997-11.7225922901997
745654.63150794765121.36849205234875
755254.9531285652007-2.95312856520069
765451.05476849564632.94523150435371
777351.333678493978721.6663215060213
784050.6812396642641-10.6812396642641
794155.0264804958535-14.0264804958535
805454.2596155336986-0.259615533698615
814249.9004716781452-7.90047167814517
827053.671870924431716.3281290755683
835151.7472120026463-0.747212002646311
846056.22434339412233.77565660587770
854954.788115059217-5.78811505921701
865255.4373080625895-3.43730806258953


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2862379894996560.5724759789993120.713762010500344
90.1681259896082390.3362519792164780.83187401039176
100.1691051165114310.3382102330228630.830894883488569
110.2763966138686450.552793227737290.723603386131355
120.3254498842732830.6508997685465650.674550115726717
130.3414471032443300.6828942064886610.65855289675567
140.7792697218700580.4414605562598850.220730278129942
150.9178295602267780.1643408795464440.0821704397732218
160.9072518746338060.1854962507323890.0927481253661944
170.8670270045704960.2659459908590090.132972995429504
180.8696752461060470.2606495077879060.130324753893953
190.8353863536976920.3292272926046160.164613646302308
200.7890538362796150.4218923274407690.210946163720385
210.7685239256057120.4629521487885750.231476074394288
220.7427557477817930.5144885044364140.257244252218207
230.8984057713825320.2031884572349360.101594228617468
240.8645297866298190.2709404267403630.135470213370181
250.8237445652600790.3525108694798430.176255434739921
260.8199979774565350.360004045086930.180002022543465
270.7773124450086610.4453751099826770.222687554991339
280.7394903969073650.5210192061852710.260509603092635
290.7229308817180460.5541382365639090.277069118281954
300.7642123323725560.4715753352548880.235787667627444
310.7165250561546430.5669498876907140.283474943845357
320.7794562483204040.4410875033591930.220543751679596
330.7322272106130750.5355455787738510.267772789386925
340.8622759962367080.2754480075265840.137724003763292
350.8717646386526740.2564707226946510.128235361347326
360.8640009971636270.2719980056727460.135999002836373
370.8258384354202070.3483231291595860.174161564579793
380.7819123573832880.4361752852334250.218087642616712
390.8231851210082960.3536297579834070.176814878991704
400.824566843937580.3508663121248390.175433156062420
410.8482422681518720.3035154636962550.151757731848128
420.8838881566174350.2322236867651290.116111843382565
430.8665131829545050.2669736340909890.133486817045495
440.8343256903369790.3313486193260430.165674309663021
450.8676229207271880.2647541585456240.132377079272812
460.8298677888766630.3402644222466750.170132211123337
470.8381855202154850.3236289595690300.161814479784515
480.7976692608512610.4046614782974780.202330739148739
490.868564540378330.2628709192433380.131435459621669
500.8600284967828550.2799430064342910.139971503217145
510.8453678492449230.3092643015101550.154632150755077
520.8014229004877890.3971541990244220.198577099512211
530.7548514427794860.4902971144410280.245148557220514
540.8165435734480370.3669128531039260.183456426551963
550.8136906217799440.3726187564401120.186309378220056
560.7845958615512490.4308082768975020.215404138448751
570.7802580308091990.4394839383816020.219741969190801
580.8150814574054770.3698370851890470.184918542594523
590.7743708757561360.4512582484877280.225629124243864
600.7155439239082920.5689121521834160.284456076091708
610.6546356886104980.6907286227790040.345364311389502
620.7563405134163820.4873189731672360.243659486583618
630.6943457345700890.6113085308598220.305654265429911
640.6434713005940020.7130573988119970.356528699405998
650.6673350687369810.6653298625260380.332664931263019
660.6026832856586740.7946334286826520.397316714341326
670.5678378855108690.8643242289782610.432162114489131
680.5399905134918160.9200189730163670.460009486508184
690.492985141447670.985970282895340.50701485855233
700.415152358474810.830304716949620.58484764152519
710.7635431118688910.4729137762622180.236456888131109
720.7679140496759770.4641719006480470.232085950324023
730.6854844747325870.6290310505348260.314515525267413
740.5758423423851350.848315315229730.424157657614865
750.4592461776264210.9184923552528420.540753822373579
760.4396618305239340.8793236610478680.560338169476066
770.4624350760509670.9248701521019340.537564923949033
780.538171418317440.923657163365120.46182858168256


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK