Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 12.3256161875859 + 0.00618479983854838Concern[t] -0.278785234171933Doubts[t] + 0.103632621238310Expectations[t] + 0.0086704709418611Criticism[t] + 0.0271802218699456Standards[t] + 0.157965607370892Organization[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.32561618758591.4624818.427900
Concern0.006184799838548380.0377720.16370.8701670.435083
Doubts-0.2787852341719330.069179-4.02999e-054.5e-05
Expectations0.1036326212383100.062961.6460.1019590.05098
Criticism0.00867047094186110.0790660.10970.9128310.456416
Standards0.02718022186994560.0490930.55360.5806860.290343
Organization0.1579656073708920.0497343.17620.0018280.000914


Multiple Linear Regression - Regression Statistics
Multiple R0.455226373457424
R-squared0.207231051091198
Adjusted R-squared0.173968018269849
F-TEST (value)6.23007084784512
F-TEST (DF numerator)6
F-TEST (DF denominator)143
p-value7.8201096992414e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.06577475960640
Sum Squared Residuals610.241826112041


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.2125117510879-3.21251175108787
21616.0174373446854-0.0174373446853516
31915.34370466654633.65629533345371
41513.84249464728141.15750535271862
51414.4968939387603-0.49689393876028
61315.1275978258265-2.12759782582654
71914.96013031140034.03986968859972
81515.9585418323419-0.958541832341931
91415.7942201285788-1.79422012857883
101514.54231330551410.457686694485855
111614.72359998220141.27640001779863
121614.53569228089081.46430771910921
131614.57449370674961.42550629325035
141717.3537115487665-0.353711548766472
151512.22274136738042.77725863261955
161515.9743051491855-0.974305149185507
172016.98669622964993.01330377035011
181816.90381984176271.09618015823732
191617.1002083961413-1.10020839614133
201614.35688651854281.64311348145717
211914.52110524014064.47889475985942
221614.52164749967811.47835250032195
231715.99972798595031.00027201404970
241714.98614881783152.01385118216853
251614.66146167559761.33853832440245
261513.14111564428181.85888435571818
271415.6792869836532-1.67928698365319
281516.1262249977494-1.12622499774941
291214.7061596807064-2.70615968070645
301414.8538516567355-0.853851656735453
311615.13144079350810.86855920649187
321415.6027899356973-1.60278993569727
33714.163329650608-7.16332965060799
341012.9950219065064-2.99502190650639
351414.3468429395941-0.346842939594062
361616.5427233442368-0.542723344236757
371614.24861980759461.75138019240539
381613.54835986978302.45164013021702
391415.3427927798583-1.34279277985826
402018.03076704817641.96923295182363
411414.8605335286981-0.860533528698117
421415.1419856586492-1.14198565864925
431114.3642988832652-3.3642988832652
441515.7582627783592-0.758262778359236
451615.55211142971240.447888570287641
461415.1070445607046-1.10704456070464
471614.25593869601221.74406130398781
481415.0486923843204-1.04869238432036
491215.4017918658811-3.40179186588112
501614.94337903674481.05662096325517
51913.6735393075749-4.67353930757492
521414.2848213877727-0.284821387772669
531615.59164126070110.408358739298907
541614.98062240455781.01937759544224
551515.0448667768714-0.0448667768714398
561614.71443473482621.28556526517378
571213.4044584111642-1.40445841116418
581616.4306176266659-0.430617626665932
591616.1199728896308-0.119972889630781
601416.3731463457375-2.37314634573747
611612.45555834015813.54444165984192
621715.99593885196171.00406114803827
631814.58100781965353.41899218034646
641815.40954227113772.59045772886225
651214.4918698578981-2.49186985789814
661615.84478187978130.155218120218692
671014.3109847797333-4.31098477973325
681412.55498554049301.44501445950697
691815.35466948654092.64533051345908
701816.22944926640441.77055073359564
711615.51039144600540.489608553994597
721615.46474629104730.535253708952651
731614.73826258631821.26173741368180
741314.6840829976808-1.68408299768081
751615.06492135462180.935078645378235
761614.77503259792851.22496740207154
772015.99657987829394.0034201217061
781615.26363112794390.736368872056057
791512.65331324227042.34668675772957
801515.3514283261438-0.351428326143807
811615.85587162968560.144128370314401
821414.1055970151842-0.105597015184237
831513.21797072333031.78202927666970
841214.8618911097905-2.86189110979051
851716.05443953512710.945560464872856
861615.22064294064290.77935705935714
871513.00157741501711.99842258498291
881314.3841044646471-1.38410446464714
891615.93587948809530.0641205119047345
901615.29196242518220.708037574817808
911616.2431343485888-0.243134348588786
921615.88552516840200.114474831598036
931415.5962077967892-1.59620779678920
941614.20921244544231.79078755455770
951615.20349920411610.79650079588393
962016.43453708386303.56546291613696
971515.5524538535673-0.55245385356726
981614.14235004000521.85764995999478
991314.3388817605544-1.3388817605544
1001715.94105650881611.05894349118395
1011614.27237939738661.72762060261342
1021213.3820911668385-1.38209116683846
1031615.03761861509710.962381384902888
1041615.38382938046630.616170619533714
1051715.52891876135711.47108123864287
1061313.1697057822538-0.16970578225384
1071215.8938827607261-3.89388276072607
1081815.83725276027652.1627472397235
1091413.76143386281540.238566137184593
1101414.5518760110905-0.551876011090541
1111313.7840851839024-0.78408518390235
1121615.47187790223020.528122097769778
1131312.59210197582570.407898024174267
1141615.37968062777260.620319372227447
1151314.8709940137106-1.87099401371062
1161615.88406084097250.115939159027488
1171514.78880714654040.211192853459580
1181615.40849610018220.591503899817782
1191514.93255621764230.0674437823577326
1201715.64825386597941.35174613402057
1211515.8977377480297-0.897737748029724
1221213.6393640506104-1.63936405061043
1231614.42925409628511.57074590371489
1241014.2187822446243-4.2187822446243
1251614.31256823795911.68743176204089
1261414.7389013208296-0.738901320829561
1271516.4755884143781-1.47558841437810
1281314.5183295954537-1.51832959545375
1291515.4177865658512-0.417786565851156
1301113.7857724701193-2.78577247011932
1311214.2703691701158-2.27036917011577
132814.5989059202342-6.59890592023418
1331616.3110948713655-0.311094871365533
1341514.91614389966030.0838561003397311
1351715.34719494374591.65280505625411
1361615.44245365901050.55754634098952
1371015.0704011970605-5.07040119706048
1381813.86750570345384.13249429654624
1391313.9430146783361-0.943014678336107
1401514.33334972215600.66665027784403
1411614.66146167559761.33853832440245
1421615.02810456798550.97189543201446
1431413.47124320054340.528756799456632
1441013.1612303086049-3.16123030860495
1451716.05443953512710.945560464872856
1461314.3803771702264-1.38037717022638
1471515.8977377480297-0.897737748029724
1481615.94682677860480.0531732213951709
1491215.284119549729-3.28411954972900
1501313.5624866853128-0.562486685312814


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9291623734389260.1416752531221480.0708376265610739
110.8758709469553730.2482581060892540.124129053044627
120.79967379025670.4006524194865990.200326209743300
130.7082172397929190.5835655204141620.291782760207081
140.6290473741203050.741905251759390.370952625879695
150.5488643413386670.9022713173226660.451135658661333
160.4646116104853080.9292232209706160.535388389514692
170.4494572782308670.8989145564617340.550542721769133
180.4545430005169360.9090860010338720.545456999483064
190.3698739886647690.7397479773295380.63012601133523
200.3165600391375210.6331200782750410.683439960862479
210.4603151157030170.9206302314060340.539684884296983
220.4437757198236560.8875514396473110.556224280176344
230.3850965234826640.7701930469653270.614903476517336
240.326861036115830.653722072231660.67313896388417
250.2694334468874840.5388668937749670.730566553112516
260.2297344776085710.4594689552171420.770265522391429
270.1840833803791990.3681667607583990.8159166196208
280.2656198333598650.531239666719730.734380166640135
290.3640428081275760.7280856162551510.635957191872424
300.3146392689661040.6292785379322070.685360731033896
310.2726025298308380.5452050596616760.727397470169162
320.2326486683486410.4652973366972820.767351331651359
330.9220421377444130.1559157245111740.0779578622555869
340.9519046678697280.0961906642605430.0480953321302715
350.9356439455868280.1287121088263440.0643560544131718
360.9213179332032070.1573641335935860.078682066796793
370.9095876803843060.1808246392313870.0904123196156936
380.9036939949385450.1926120101229090.0963060050614546
390.8855504546179840.2288990907640330.114449545382016
400.9036397921371630.1927204157256730.0963602078628366
410.8822665547274740.2354668905450530.117733445272526
420.8639835705087310.2720328589825370.136016429491269
430.9202620779831520.1594758440336970.0797379220168483
440.9053320141366770.1893359717266460.0946679858633232
450.8818394747177110.2363210505645780.118160525282289
460.8583211343334880.2833577313330230.141678865666512
470.8399563080155030.3200873839689940.160043691984497
480.8136007321354740.3727985357290520.186399267864526
490.8596952067151830.2806095865696340.140304793284817
500.8370363561186370.3259272877627260.162963643881363
510.9255165397039820.1489669205920350.0744834602960177
520.907060861884710.1858782762305790.0929391381152894
530.888738469536270.2225230609274620.111261530463731
540.8733428696304290.2533142607391430.126657130369571
550.8460497111504870.3079005776990250.153950288849513
560.8361775099326760.3276449801346480.163822490067324
570.8181581120563720.3636837758872570.181841887943628
580.7845754545205990.4308490909588030.215424545479402
590.7465047850409010.5069904299181980.253495214959099
600.7476897301424980.5046205397150040.252310269857502
610.8080469362212550.383906127557490.191953063778745
620.7850160948511230.4299678102977550.214983905148877
630.8380999767299590.3238000465400830.161900023270041
640.8612762319875360.2774475360249280.138723768012464
650.8742404699275970.2515190601448060.125759530072403
660.8482678615428420.3034642769143150.151732138457158
670.921927789852140.1561444202957180.078072210147859
680.9106068558013580.1787862883972840.0893931441986421
690.929043625279550.1419127494409020.0709563747204508
700.9275871919228010.1448256161543970.0724128080771987
710.9101405265333170.1797189469333670.0898594734666833
720.8900533878261720.2198932243476560.109946612173828
730.8771933037375360.2456133925249280.122806696262464
740.8680541954638850.2638916090722300.131945804536115
750.8473156367238180.3053687265523630.152684363276182
760.828223182856580.3435536342868410.171776817143420
770.9051928872524660.1896142254950670.0948071127475335
780.8863576424253350.2272847151493300.113642357574665
790.89170252965480.2165949406904000.108297470345200
800.8675854151877820.2648291696244350.132414584812218
810.8400027363943460.3199945272113080.159997263605654
820.8130299932693970.3739400134612060.186970006730603
830.814252900536090.3714941989278190.185747099463909
840.8431841055385360.3136317889229270.156815894461464
850.8185495070398750.3629009859202490.181450492960125
860.790903050721740.4181938985565190.209096949278260
870.7989419382231490.4021161235537030.201058061776851
880.7825231029186160.4349537941627670.217476897081384
890.7498920946125420.5002158107749150.250107905387457
900.7137609603400970.5724780793198060.286239039659903
910.6717229148034350.656554170393130.328277085196565
920.6267151035951450.7465697928097090.373284896404854
930.6184575375771780.7630849248456430.381542462422822
940.6210067229959390.7579865540081220.378993277004061
950.5780279739635770.8439440520728460.421972026036423
960.665161995195470.6696760096090610.334838004804530
970.619028951071470.7619420978570590.380971048928530
980.6482681617426140.7034636765147720.351731838257386
990.618685244871810.762629510256380.38131475512819
1000.5982077401272970.8035845197454050.401792259872703
1010.6111167530041570.7777664939916860.388883246995843
1020.5777719616482720.8444560767034560.422228038351728
1030.5323973744811440.9352052510377120.467602625518856
1040.5111213937310480.9777572125379040.488878606268952
1050.5039799064221630.9920401871556750.496020093577837
1060.4501711370674220.9003422741348440.549828862932578
1070.5866036887369350.826792622526130.413396311263065
1080.5900061464344760.8199877071310480.409993853565524
1090.5864498841884450.827100231623110.413550115811555
1100.535519440286060.928961119427880.46448055971394
1110.481438379199430.962876758398860.51856162080057
1120.4295165703952450.859033140790490.570483429604755
1130.3978175957459140.7956351914918270.602182404254086
1140.3602571861960270.7205143723920540.639742813803973
1150.3437947892940010.6875895785880020.656205210705999
1160.2902586908711780.5805173817423550.709741309128822
1170.2647868174765840.5295736349531670.735213182523416
1180.2675193308925900.5350386617851790.73248066910741
1190.2190093834051960.4380187668103910.780990616594804
1200.1879243449694320.3758486899388650.812075655030568
1210.1544073500228540.3088147000457070.845592649977146
1220.1405371390905320.2810742781810630.859462860909468
1230.1311061952173870.2622123904347750.868893804782613
1240.1774338093142160.3548676186284320.822566190685784
1250.1428627141595030.2857254283190060.857137285840497
1260.1104636976404150.2209273952808310.889536302359585
1270.08326753648247460.1665350729649490.916732463517525
1280.06299010801900080.1259802160380020.937009891981
1290.04431207837384920.08862415674769830.95568792162615
1300.03631639597100870.07263279194201740.963683604028991
1310.02690943476501740.05381886953003470.973090565234983
1320.1961735422746980.3923470845493960.803826457725302
1330.1428393529853230.2856787059706460.857160647014677
1340.1032720159317210.2065440318634420.89672798406828
1350.3152837951913180.6305675903826360.684716204808682
1360.2425885521496950.4851771042993910.757411447850305
1370.5844819251579990.8310361496840030.415518074842001
1380.5754053585707990.8491892828584010.424594641429201
1390.438559802691960.877119605383920.56144019730804
1400.3132088952179260.6264177904358510.686791104782075


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 level40.0305343511450382OK