Multiple Linear Regression - Estimated Regression Equation
Anxiety[t] = + 58.3998859288407 -0.359270126672522Concern[t] + 0.262562939642511Doubts[t] + 0.882346066972115Pexpectations[t] -1.23270117276060Pcriticism[t] + 0.0505647857106037Standards[t] -0.167665890991060Organization[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)58.39988592884079.1855236.357800
Concern-0.3592701266725220.242166-1.48360.1401080.070054
Doubts0.2625629396425110.4446270.59050.5557650.277882
Pexpectations0.8823460669721150.4103042.15050.0331870.016594
Pcriticism-1.232701172760600.512813-2.40380.0174980.008749
Standards0.05056478571060370.3106060.16280.8709090.435454
Organization-0.1676658909910600.317686-0.52780.598470.299235


Multiple Linear Regression - Regression Statistics
Multiple R0.243095200709022
R-squared0.0590952766077596
Adjusted R-squared0.0198909131330829
F-TEST (value)1.50736477703384
F-TEST (DF numerator)6
F-TEST (DF denominator)144
p-value0.17973315446958
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.2487068800742
Sum Squared Residuals25276.0656951542


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16954.333385428144414.6666145718556
25356.6566720791707-3.65667207917067
34346.9857566349114-3.98575663491143
46046.954095094620513.0459049053795
54951.2101152421977-2.21011524219767
66251.454142771498610.5458572285014
74560.1141710608863-15.1141710608863
85050.635821331768-0.63582133176802
97551.525348131562823.4746518684372
108251.548687233656330.4513127663437
116051.06689963701548.93310036298456
125949.32785643500639.67214356499369
132145.2209183985484-24.2209183985484
146256.33124146624575.6687585337543
155452.02395629509071.97604370490928
164753.2394754797964-6.23947547979641
175950.88375470867678.11624529132335
183745.1267338027659-8.12673380276593
194354.1402405953095-11.1402405953095
204852.06159931917-4.06159931916995
217946.02894233478632.971057665214
226247.068853282326614.9311467176734
231651.4968585869687-35.4968585869687
243852.8782765931134-14.8782765931134
255853.21756418896964.78243581103044
266054.34217115727655.65782884272353
276750.531217586008516.4687824139915
285552.49803699767992.50196300232014
294748.0471716399238-1.04717163992383
305950.97915783677828.02084216322176
314950.4545713793986-1.45457137939855
324752.0605126432358-5.06051264323576
335748.50037331828868.49962668171144
343949.879804001012-10.8798040010119
354951.1500456477889-2.15004564778891
362649.8528868325116-23.8528868325116
375349.04997436488283.95002563511721
387556.397608772351618.6023912276484
396548.74102922331416.258970776686
404960.1138867473164-11.1138867473164
414852.1381959248921-4.13819592489212
424546.0273979230087-1.0273979230087
433151.8023825193945-20.8023825193945
446156.30406874782394.69593125217614
454955.9857618591032-6.98576185910325
466950.260333015133118.7396669848669
475450.18823564666983.81176435333024
488051.160107165298728.8398928347013
495753.38997497077223.61002502922785
503449.6931818994059-15.6931818994059
516953.651451208557215.3485487914428
524449.7296990521499-5.72969905214989
537049.722716605900120.2772833940999
545153.029226641001-2.02922664100097
556653.285247005165212.7147529948348
561847.8241912392161-29.8241912392161
577451.844453084494522.1555469155055
585956.774405743582.22559425642002
594853.4865523397392-5.48655233973921
605550.90430674147184.09569325852823
614446.9601349290329-2.96013492903292
625649.18438495764826.81561504235184
636552.454976240983812.5450237590162
647749.987039318012427.0129606819876
654647.1870874119503-1.18708741195033
667051.171110063288418.8288899367116
673956.7761102910232-17.7761102910232
685556.9426904827073-1.94269048270728
694449.8288553505976-5.82885535059765
704553.5899831019140-8.58998310191404
714554.7447079724858-9.74470797248582
724955.6875872054548-6.68758720545485
736550.025062392171514.9749376078284
744547.7042360489941-2.70423604899415
754852.8254350985071-4.82543509850708
764147.8504964310968-6.85049643109675
774051.3124880493052-11.3124880493052
786454.70832520754659.2916747924535
795650.80111477735335.19888522264669
805252.5197347620798-0.519734762079786
814149.5922666441831-8.59226664418313
824255.2642270326336-13.2642270326336
835455.3113774646975-1.31137746469753
844047.8509513548666-7.85095135486657
854051.019345454055-11.0193454540550
865152.3396784185856-1.33967841858559
874857.9266650315225-9.92666503152247
888060.01719558991219.982804410088
893854.8922899979350-16.8922899979350
905754.03195655651532.96804344348475
912846.2956567755890-18.2956567755890
925155.4804675910415-4.48046759104147
934653.9868305790284-7.98683057902839
945855.41812528921652.58187471078350
956752.345650515457914.6543494845421
967250.622793979201321.3772060207987
972650.360933596059-24.360933596059
985455.7898215207578-1.78982152075781
995350.88330697985842.11669302014162
1006448.35885222878215.6411477712180
1014749.3607677858263-2.36076778582625
1024356.7196639723006-13.7196639723006
1036648.870976681494617.1290233185054
1045451.60961875639072.39038124360933
1056259.52598001151742.47401998848256
1065252.3149173409705-0.314917340970525
1076455.0013380106578.99866198934296
1085551.83292682014833.16707317985171
1095752.24121631820364.75878368179641
1107456.1457007398717.8542992601300
1113250.2802577635798-18.2802577635798
1123854.9809277821275-16.9809277821275
1136653.584718862245712.4152811377543
1143752.3629910596434-15.3629910596434
1152650.9245186575052-24.9245186575052
1166453.183042191770410.8169578082296
1172849.5499682906021-21.5499682906021
1186658.0795303671387.92046963286203
1196556.09243742641968.90756257358043
1204849.2899549814081-1.28995498140812
1214456.3944881870575-12.3944881870575
1226454.32065084137999.67934915862008
1233951.1415687140846-12.1415687140846
1245054.4623814138904-4.46238141389043
1256653.497245159097112.5027548409029
1264849.1316650836027-1.13166508360275
1277052.886939359678817.1130606403212
1286656.44649449502749.55350550497262
1296151.04342404821849.95657595178162
1303150.5058076389855-19.5058076389855
1316152.3233382686078.67666173139299
1325446.65213365658237.3478663434177
1333447.3403340549265-13.3403340549265
1346246.685793725455815.3142062745442
1354756.2193487974417-9.21934879744167
1365249.45844586515512.54155413484487
1373756.7643877364826-19.7643877364826
1384648.7562220956256-2.75622209562558
1393849.4904902675992-11.4904902675992
1406353.21756418896969.78243581103044
1413452.35294682904-18.3529468290400
1424648.8915391456998-2.89153914569980
1434047.0697358359429-7.06973583594288
1443047.8509513548666-17.8509513548666
1453549.74089719584-14.74089719584
1465149.28995498140811.71004501859188
1475657.0969395421922-1.09693954219220
1486854.816227980923613.1837720190764
1493952.8344638819052-13.8344638819052
1504451.1500456477889-7.15004564778891
1515852.83446388190525.16553611809477


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9111465019057940.1777069961884120.0888534980942058
110.837206554694730.3255868906105400.162793445305270
120.7495750719209950.5008498561580110.250424928079005
130.9424446721597390.1151106556805220.0575553278402612
140.9068142218843360.1863715562313270.0931857781156637
150.8622924535952720.2754150928094550.137707546404728
160.8706231751362930.2587536497274140.129376824863707
170.8223655396328490.3552689207343020.177634460367151
180.777679500245340.4446409995093210.222320499754660
190.8216277982132320.3567444035735370.178372201786768
200.8132894377500620.3734211244998760.186710562249938
210.901569707678880.1968605846422410.0984302923211203
220.8988984448004120.2022031103991770.101101555199588
230.975653969920410.04869206015918110.0243460300795905
240.9826110834190820.03477783316183590.0173889165809179
250.9743329780657640.05133404386847270.0256670219342364
260.963835792722790.0723284145544190.0361642072772095
270.9652697795883750.06946044082325010.0347302204116251
280.9515677060935540.0968645878128920.048432293906446
290.9344091380824390.1311817238351230.0655908619175613
300.9145667838237430.1708664323525150.0854332161762574
310.8979977952821290.2040044094357430.102002204717871
320.876682361253010.2466352774939810.123317638746990
330.8497683728217940.3004632543564130.150231627178206
340.8573212715060890.2853574569878220.142678728493911
350.8270573704575430.3458852590849140.172942629542457
360.8906134579198860.2187730841602280.109386542080114
370.8623383126751160.2753233746497680.137661687324884
380.8814932324114850.2370135351770290.118506767588515
390.8863733777608560.2272532444782890.113626622239144
400.8703793678940770.2592412642118470.129620632105923
410.8462136712351320.3075726575297360.153786328764868
420.8158847308931070.3682305382137860.184115269106893
430.858082787060890.283834425878220.14191721293911
440.8291855023638440.3416289952723120.170814497636156
450.8025300961448020.3949398077103950.197469903855198
460.8210802959288960.3578394081422070.178919704071104
470.7857341627888180.4285316744223650.214265837211182
480.891937403254020.216125193491960.10806259674598
490.8669034568365550.2661930863268890.133096543163445
500.870402614018920.2591947719621580.129597385981079
510.8668852538052130.2662294923895740.133114746194787
520.8659151045168750.2681697909662490.134084895483125
530.887844328857940.2243113422841190.112155671142060
540.8646200497492790.2707599005014420.135379950250721
550.8573858491136620.2852283017726750.142614150886338
560.9544590481833430.09108190363331470.0455409518166574
570.9708262679664080.0583474640671830.0291737320335915
580.9621532117196140.07569357656077120.0378467882803856
590.9526859263850160.0946281472299670.0473140736149835
600.9402418520678720.1195162958642550.0597581479321277
610.9358751563762240.1282496872475510.0641248436237756
620.9241971587598040.1516056824803920.0758028412401958
630.9207234800418350.1585530399163310.0792765199581653
640.965090518229450.06981896354110150.0349094817705508
650.9554671357835280.08906572843294380.0445328642164719
660.965755280218610.06848943956278020.0342447197813901
670.9733050772483330.0533898455033340.026694922751667
680.9652522742328080.06949545153438480.0347477257671924
690.958724132631820.08255173473635920.0412758673681796
700.9523172424326030.09536551513479410.0476827575673971
710.9475872085122520.1048255829754960.0524127914877478
720.9380518696952950.1238962606094110.0619481303047053
730.9430320788090060.1139358423819880.0569679211909942
740.9309943968548090.1380112062903830.0690056031451913
750.915575501470130.1688489970597390.0844244985298694
760.9000777421894840.1998445156210320.0999222578105162
770.8951599779999860.2096800440000270.104840022000014
780.8972774578354770.2054450843290450.102722542164523
790.8783842798926820.2432314402146360.121615720107318
800.8525472521565520.2949054956868950.147452747843448
810.833270881586320.333458236827360.16672911841368
820.8312178654167030.3375642691665930.168782134583297
830.7995031181642380.4009937636715230.200496881835762
840.7758496234606140.4483007530787730.224150376539386
850.7640688053424190.4718623893151620.235931194657581
860.7346339403676070.5307321192647850.265366059632393
870.7275822018361360.5448355963277270.272417798163864
880.7582018272395920.4835963455208150.241798172760408
890.7956608870618150.408678225876370.204339112938185
900.7600436683500470.4799126632999050.239956331649953
910.7815914874784680.4368170250430640.218408512521532
920.7487245642312690.5025508715374630.251275435768731
930.7294497668802040.5411004662395930.270550233119796
940.6888748452229710.6222503095540580.311125154777029
950.6849362218715950.630127556256810.315063778128405
960.7509230125418480.4981539749163030.249076987458151
970.8372914883012370.3254170233975270.162708511698763
980.8041245092248160.3917509815503680.195875490775184
990.7665720768721580.4668558462556840.233427923127842
1000.813730692595260.3725386148094790.186269307404739
1010.7794567461241350.4410865077517290.220543253875865
1020.7939419222419180.4121161555161640.206058077758082
1030.8242431113689340.3515137772621310.175756888631066
1040.7942584824654360.4114830350691280.205741517534564
1050.7607009371643530.4785981256712940.239299062835647
1060.7164359533578290.5671280932843430.283564046642171
1070.6852237707758140.6295524584483720.314776229224186
1080.6485752102299060.7028495795401880.351424789770094
1090.6006133823197440.7987732353605120.399386617680256
1100.645895610023560.708208779952880.35410438997644
1110.6803431889032770.6393136221934450.319656811096723
1120.675774521511770.648450956976460.32422547848823
1130.6534527500288580.6930944999422840.346547249971142
1140.6512923988080890.6974152023838230.348707601191912
1150.7922708879177160.4154582241645690.207729112082284
1160.776832501058980.446334997882040.22316749894102
1170.8582757974119420.2834484051761150.141724202588058
1180.82677901240360.3464419751927990.173220987596399
1190.8007239594152970.3985520811694060.199276040584703
1200.7533311304662520.4933377390674960.246668869533748
1210.7309875316876660.5380249366246670.269012468312334
1220.7050033154719480.5899933690561040.294996684528052
1230.7017914082850960.5964171834298080.298208591714904
1240.6402779236213330.7194441527573340.359722076378667
1250.6301498288836180.7397003422327640.369850171116382
1260.5598121578097270.8803756843805450.440187842190273
1270.617657651083440.7646846978331190.382342348916560
1280.589780584564260.8204388308714810.410219415435740
1290.6741694078543430.6516611842913140.325830592145657
1300.7178107141440860.5643785717118280.282189285855914
1310.7279260855367770.5441478289264450.272073914463223
1320.6523560554388030.6952878891223940.347643944561197
1330.7163000880174660.5673998239650680.283699911982534
1340.659359938264910.681280123470180.34064006173509
1350.6058678795867210.7882642408265580.394132120413279
1360.6093794091428750.781241181714250.390620590857125
1370.6208246557688530.7583506884622930.379175344231147
1380.513548807103780.972902385792440.48645119289622
1390.3948021158405470.7896042316810930.605197884159453
1400.3605300275108840.7210600550217680.639469972489116
1410.418486070761540.836972141523080.58151392923846


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0151515151515152OK
10% type I error level170.128787878787879NOK