Multiple Linear Regression - Estimated Regression Equation
Learning[t] = -2.09744119492241 + 0.98345152961758month[t] + 0.105235669801573Connected[t] -0.021934388714044Separate[t] + 0.498650277820933Software[t] + 0.0394190124751529Happiness[t] -0.0739033591796028Depression[t] + 0.0321725689001196Belonging[t] -0.0377946216850454Belonging_Final[t] -0.0129117474811838t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2.097441194922415.099384-0.41130.6814230.340711
month0.983451529617580.5485291.79290.0749790.03749
Connected0.1052356698015730.0468862.24450.0262450.013123
Separate-0.0219343887140440.04483-0.48930.6253470.312673
Software0.4986502778209330.071177.006400
Happiness0.03941901247515290.0762180.51720.6057770.302888
Depression-0.07390335917960280.056407-1.31020.1921110.096056
Belonging0.03217256890011960.0447360.71920.4731420.236571
Belonging_Final-0.03779462168504540.06424-0.58830.5571810.27859
t-0.01291174748118380.005824-2.21690.0281140.014057


Multiple Linear Regression - Regression Statistics
Multiple R0.613915820786412
R-squared0.376892635011853
Adjusted R-squared0.339998119979661
F-TEST (value)10.2154110084653
F-TEST (DF numerator)9
F-TEST (DF denominator)152
p-value3.14848147553448e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.83299774854445
Sum Squared Residuals510.701873417692


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.3664139710184-3.36641397101843
21616.3511633091657-0.351163309165727
31916.51898553091012.48101446908987
41512.42451865168972.57548134831027
51415.7232541324637-1.72325413246366
61315.2656211047155-2.26562110471552
71915.30400616730523.69599383269477
81516.8806055339461-1.88060553394615
91416.1742644041345-2.1742644041345
101512.97592931027852.0240706897215
111615.53787163070030.462128369299686
121616.273030400883-0.273030400882967
131615.65465277829340.345347221706565
141615.41484889014510.585151109854867
151717.467312425524-0.467312425524046
161515.1971663135579-0.197166313557947
171514.83661315449190.163386845508144
182016.31792588547183.68207411452817
191815.58643428002822.41356571997185
201615.2880225275770.711977472422955
211615.37736430526470.622635694735344
221614.95944061439271.04055938560727
231916.36491241186522.63508758813475
241614.80881628817561.19118371182445
251714.97967892729642.02032107270356
261717.0002319442846-0.00023194428462091
271615.05000242829720.949997571702789
281516.0346619396124-1.03466193961235
291615.47726806141630.522731938583733
301414.1724151011575-0.17241510115751
311515.6727476298542-0.672747629854199
321212.3631045000814-0.363104500081357
331415.117964695222-1.11796469522201
341615.50480133472990.495198665270138
351415.590014348632-1.59001434863198
36713.0838245770787-6.08382457707872
371011.144832722913-1.14483272291303
381415.6749573229188-1.67495732291879
391614.24608783136781.75391216863221
401614.58901577980671.41098422019331
411615.00873012421810.991269875781934
421415.3953469414223-1.39534694142229
432017.50480014203482.49519985796515
441414.0711435079219-0.0711435079218569
451414.836513623721-0.836513623720953
461115.4183169847174-4.41831698471737
471416.164941544866-2.16494154486604
481514.79875794189220.201242058107797
491614.91604615503151.08395384496848
501415.8005884479215-1.80058844792146
511616.1553942165782-0.15539421657819
521413.93922064809650.0607793519035076
531214.4286294054258-2.42862940542583
541614.97787561692651.02212438307346
55911.5287255028484-2.52872550284839
561412.58749861760791.41250138239208
571615.70985085809280.290149141907209
581614.78895271959341.21104728040656
591515.0384876703864-0.0384876703864245
601613.89428858031092.10571141968912
611211.33246830407810.667531695921863
621615.59222047933980.407779520660198
631616.0548941946298-0.0548941946298443
641414.9090369340526-0.909036934052623
651615.90029829473820.0997017052618297
661716.54215066302110.457849336978946
671816.58713888518161.41286111481836
681815.29427580749962.70572419250038
691216.2780001670708-4.27800016707075
701615.87790247400630.122097525993657
711014.1025809788943-4.10258097889431
721414.7336303482619-0.733630348261873
731816.92056979584581.07943020415424
741817.42272817436050.577271825639482
751616.2505555665492-0.250555566549225
761714.48052662864362.51947337135644
771616.6437611904071-0.643761190407118
781614.92619153295941.07380846704057
791315.2989641923043-2.29896419230428
801616.3268420585494-0.326842058549413
811615.9395935806240.0604064193759571
822016.5791748279823.42082517201795
831616.0305278253941-0.0305278253940706
841516.2734682884789-1.27346828847888
851515.1044073223945-0.104407322394541
861614.69804074082681.30195925917317
871414.5878450728652-0.587845072865234
881615.60921055176810.390789448231925
891614.81565887415831.18434112584166
901514.58473271361270.415267286387273
911213.8420498259366-1.84204982593664
921717.0095241537886-0.00952415378859874
931615.67330015072330.326699849276682
941515.5278763174161-0.527876317416138
951315.4589360504098-2.45893605040981
961615.41382779126410.586172208735916
971615.97841730939680.0215826906031617
981614.47269474177921.52730525822079
991616.2395875019776-0.239587501977568
1001414.5691198055174-0.569119805517357
1011617.2988558347647-1.29885583476469
1021614.96965904857941.03034095142056
1032017.37704192677752.62295807322253
1041514.78947159178470.210528408215322
1051614.65794677952951.34205322047049
1061315.4485210392978-2.44852103929781
1071716.05710756792490.942892432075079
1081615.85354510885870.146454891141304
1091614.61136313175721.38863686824285
1101212.3778323218427-0.37783232184269
1111615.04182668831830.958173311681685
1121615.85339870313870.14660129686133
1131714.68342327001882.3165767299812
1141314.6441271171427-1.64412711714273
1151214.8781464171168-2.87814641711676
1161816.56898093282631.43101906717371
1171415.3115701636548-1.31157016365482
1181413.08356631991660.916433680083436
1191314.9100717908552-1.91007179085521
1201615.64092799140810.359072008591917
1211314.1756844001004-1.17568440010045
1221615.53815357382540.461846426174627
1231315.8770440848009-2.87704408480089
1241616.8461606455066-0.846160645506614
1251515.8245581211274-0.824558121127439
1261616.5932149573372-0.593214957337209
1271515.3817989797384-0.381798979738357
1281715.9933481558621.00665184413796
1291513.781337703971.21866229603004
1301214.7871167246804-2.78711672468043
1311614.07223305785251.92776694214753
1321013.2508834140524-3.25088341405243
1331613.99785512159512.00214487840492
1341213.7375513285654-1.73755132856539
1351415.3846669147381-1.38466691473812
1361514.92741681019710.0725831898029422
1371312.14398748055050.856012519449538
1381514.20743204921560.792567950784441
1391112.9838728206167-1.98387282061673
1401213.1817186815902-1.18171868159018
141813.1949069826952-5.19490698269524
1421612.85692819919683.14307180080318
1431513.16087484236291.83912515763706
1441716.17565496093240.824345039067645
1451614.55101868070691.44898131929306
1461013.9730436215555-3.97304362155554
1471815.50944567822182.49055432177818
1481314.7758089049077-1.77580890490772
1491614.81908371264631.18091628735374
1501312.83016470373040.169835296269571
1511012.8968837656032-2.8968837656032
1521515.8866436250681-0.886643625068071
1531613.69418210894812.30581789105187
1541611.80802338549724.19197661450276
1551412.20778050053011.79221949946985
1561011.2855246056713-1.2855246056713
1571716.17026056751170.829739432488345
1581311.35684638517171.64315361482834
1591513.39398527953441.60601472046556
1601614.65474690593161.34525309406839
1611212.2028551958358-0.20285519583582
1621312.23429608331650.765703916683517


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.7422449725981170.5155100548037650.257755027401883
140.7180231641958270.5639536716083470.281976835804173
150.5973968674673010.8052062650653970.402603132532699
160.4848571098640610.9697142197281230.515142890135939
170.4065323046363610.8130646092727210.593467695363639
180.5644983795686440.8710032408627110.435501620431356
190.4794924332672670.9589848665345350.520507566732733
200.39081623405030.7816324681005990.6091837659497
210.319691519638360.6393830392767190.68030848036164
220.3123308864274540.6246617728549070.687669113572546
230.4440897648876170.8881795297752330.555910235112383
240.5188743574703940.9622512850592120.481125642529606
250.465188004322190.9303760086443810.53481199567781
260.3964570922546080.7929141845092160.603542907745392
270.3682531617103310.7365063234206630.631746838289669
280.4736559979546590.9473119959093190.526344002045341
290.4163868134615140.8327736269230290.583613186538486
300.5280024083078410.9439951833843190.471997591692159
310.4769577254391780.9539154508783560.523042274560822
320.4395677641938120.8791355283876240.560432235806188
330.4272714294218790.8545428588437580.572728570578121
340.3962695579648550.792539115929710.603730442035145
350.3450002417804730.6900004835609460.654999758219527
360.8800912845654510.2398174308690970.119908715434549
370.855229317940770.289541364118460.14477068205923
380.8367695887455050.3264608225089890.163230411254495
390.8665338580168850.2669322839662290.133466141983115
400.8566656919758210.2866686160483580.143334308024179
410.8328875827087820.3342248345824370.167112417291218
420.8045111767048150.3909776465903690.195488823295185
430.8386270424202410.3227459151595190.161372957579759
440.8034084726282040.3931830547435910.196591527371796
450.7759670590221960.4480658819556070.224032940977804
460.8930019496304930.2139961007390130.106998050369507
470.9111296393700060.1777407212599880.0888703606299939
480.8911523351347340.2176953297305330.108847664865266
490.8903181763299910.2193636473400180.109681823670009
500.8799359343253180.2401281313493640.120064065674682
510.8532028474889530.2935943050220940.146797152511047
520.82432834558640.35134330882720.1756716544136
530.8277587669627440.3444824660745120.172241233037256
540.8030395801333440.3939208397333130.196960419866656
550.8152872232128980.3694255535742040.184712776787102
560.7968232375467590.4063535249064830.203176762453241
570.7607841243146340.4784317513707310.239215875685366
580.7501132858560970.4997734282878060.249886714143903
590.7165252241122080.5669495517755830.283474775887792
600.7340145181991580.5319709636016850.265985481800842
610.704006878391510.591986243216980.29599312160849
620.6715350851173730.6569298297652530.328464914882627
630.6343869267388540.7312261465222910.365613073261146
640.5891484560148920.8217030879702160.410851543985108
650.5447936611007450.910412677798510.455206338899255
660.5005210200425180.9989579599149650.499478979957482
670.4796945891154640.9593891782309280.520305410884536
680.5501164360893330.8997671278213340.449883563910667
690.7298948394074980.5402103211850030.270105160592502
700.6900687500282750.6198624999434490.309931249971725
710.8255759968439990.3488480063120030.174424003156001
720.7950451480647090.4099097038705810.204954851935291
730.7832958158824270.4334083682351450.216704184117572
740.7622681494813010.4754637010373990.237731850518699
750.7249166020861130.5501667958277740.275083397913887
760.7526420405385740.4947159189228530.247357959461426
770.7154458422340850.569108315531830.284554157765915
780.6920280634497370.6159438731005260.307971936550263
790.7086077431327090.5827845137345820.291392256867291
800.6665418455169130.6669163089661740.333458154483087
810.6260054811693250.7479890376613510.373994518830675
820.7631559378437920.4736881243124170.236844062156208
830.7262540471425950.547491905714810.273745952857405
840.6980801679406980.6038396641186030.301919832059302
850.6559180590181020.6881638819637960.344081940981898
860.6384785440619430.7230429118761130.361521455938057
870.5940518089062470.8118963821875060.405948191093753
880.5512684834136180.8974630331727650.448731516586382
890.5287193095926120.9425613808147760.471280690407388
900.4886592050757390.9773184101514790.511340794924261
910.4783163206009760.9566326412019520.521683679399024
920.4364143005339750.872828601067950.563585699466025
930.3942973599103350.788594719820670.605702640089665
940.350645344145050.7012906882900990.64935465585495
950.3780685243725490.7561370487450990.621931475627451
960.3413597496773880.6827194993547760.658640250322612
970.299669197419930.599338394839860.70033080258007
980.2919501909993640.5839003819987270.708049809000636
990.2513881328002240.5027762656004490.748611867199776
1000.2179813114794940.4359626229589870.782018688520506
1010.1930271059734210.3860542119468420.806972894026579
1020.1754613482443610.3509226964887210.824538651755639
1030.2238764055061810.4477528110123630.776123594493819
1040.1895250570747980.3790501141495960.810474942925202
1050.1842904418085440.3685808836170890.815709558191456
1060.1936991113406320.3873982226812630.806300888659368
1070.175835044419960.3516700888399210.82416495558004
1080.155346037024850.3106920740497010.844653962975149
1090.1540367303641630.3080734607283260.845963269635837
1100.1460330257656090.2920660515312190.85396697423439
1110.1333813942209330.2667627884418660.866618605779067
1120.1142658378773530.2285316757547060.885734162122647
1130.1587606326873420.3175212653746840.841239367312658
1140.13915560071430.27831120142860.8608443992857
1150.1536448795880150.307289759176030.846355120411985
1160.1636412465072760.3272824930145510.836358753492724
1170.1363839593914720.2727679187829440.863616040608528
1180.1387749206575010.2775498413150010.861225079342499
1190.1233404156905630.2466808313811250.876659584309437
1200.1362099740039570.2724199480079130.863790025996043
1210.1099319357524340.2198638715048680.890068064247566
1220.09690424522423770.1938084904484750.903095754775762
1230.09053932641297810.1810786528259560.909460673587022
1240.06965362872404310.1393072574480860.930346371275957
1250.05251662192706230.1050332438541250.947483378072938
1260.03933549893800340.07867099787600690.960664501061997
1270.02837266705736250.05674533411472490.971627332942637
1280.02970952481651160.05941904963302330.970290475183488
1290.03183281789821390.06366563579642780.968167182101786
1300.03001581989676370.06003163979352740.969984180103236
1310.03634419815782490.07268839631564990.963655801842175
1320.03693665020532760.07387330041065510.963063349794672
1330.09293726638228980.185874532764580.90706273361771
1340.09484935240972680.1896987048194540.905150647590273
1350.07456199846630590.1491239969326120.925438001533694
1360.05767681169855910.1153536233971180.942323188301441
1370.04103509716029390.08207019432058770.958964902839706
1380.04557188768336940.09114377536673880.954428112316631
1390.04038235230341230.08076470460682460.959617647696588
1400.02661872538170340.05323745076340680.973381274618297
1410.5425805938276330.9148388123447350.457419406172367
1420.4832961798937770.9665923597875550.516703820106223
1430.4047549598130830.8095099196261650.595245040186917
1440.3126933542082370.6253867084164750.687306645791763
1450.229694300836640.459388601673280.77030569916336
1460.3673944814045760.7347889628091530.632605518595424
1470.2920704873616060.5841409747232120.707929512638394
1480.4499192212675470.8998384425350930.550080778732453
1490.4624887954856660.9249775909713310.537511204514334


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 level110.0802919708029197OK