Multiple Linear Regression - Estimated Regression Equation
Motivatie [t] = -7.64892641196258 + 0.699182398878154I1[t] + 0.899995933217154I2[t] + 1.17049459923633I3[t] + 1.3824341738989E1[t] + 1.06977391077917E2[t] + 0.82021707934688E3[t] -0.899454015105466A[t] + 0.0818955064962485Happiness[t] + 0.357946924003673Depression[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-7.6489264119625810.685182-0.71580.4751860.237593
I10.6991823988781540.2986332.34130.0205160.010258
I20.8999959332171540.2587973.47760.000660.00033
I31.170494599236330.2001045.849400
E11.38243417389890.2883974.79354e-062e-06
E21.069773910779170.2207984.8453e-062e-06
E30.820217079346880.2276823.60250.0004260.000213
A-0.8994540151054660.316584-2.84110.0051120.002556
Happiness0.08189550649624850.3754410.21810.8276190.41381
Depression0.3579469240036730.2797831.27940.2027150.101357


Multiple Linear Regression - Regression Statistics
Multiple R0.873362373451491
R-squared0.762761835360821
Adjusted R-squared0.748714838770344
F-TEST (value)54.3007062362278
F-TEST (DF numerator)9
F-TEST (DF denominator)152
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.22544184762359
Sum Squared Residuals12936.5341471505


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1127124.7013365668612.29866343313892
2108107.8747129499280.125287050071958
3110110.393571907718-0.393571907718028
4102100.1318778720111.86812212798886
5104105.989302971621-1.98930297162116
6140140.265771496749-0.265771496749212
7112113.134950179186-1.13495017918639
8115117.096341000183-2.09634100018306
9121117.4685137694423.53148623055789
10112110.7207814518881.27921854811246
11118116.4845489679251.515451032075
12122119.428949093692.57105090630957
13105106.66008674426-1.66008674425977
14111109.3799753909821.62002460901835
15151149.9218995046951.0781004953046
16106105.4076772878150.592322712185428
17100101.414366031323-1.41436603132268
18149148.0626695130490.937330486951453
19122118.6521150599893.34788494001079
20115115.429539757934-0.429539757934193
218683.04983348105062.95016651894942
22124124.208242003984-0.208242003984454
236970.4624586554288-1.46245865542884
24117117.024343694107-0.0243436941065235
25113113.238877336213-0.238877336213234
26123120.6433089275292.35669107247089
27123121.932471321011.0675286789898
288480.85863635901633.14136364098372
299791.75711269989395.24288730010609
30121120.0537337927690.946266207230532
31132130.4154051029381.58459489706244
32119119.053243457907-0.0532434579065674
339898.5245993120478-0.524599312047803
348786.65562609733560.344373902664356
3510198.39908542087892.60091457912108
36115113.5669827313511.43301726864914
37109109.734364130089-0.734364130088818
38109108.689794323150.310205676850131
39159157.4015015717811.59849842821923
40129127.429562661321.5704373386796
41119118.3018770853530.698122914646648
42119116.4477845875672.55221541243293
43122119.3711770091232.62882299087703
44131129.734168425371.26583157462988
45120115.4784899475384.52151005246203
468281.92593228108980.0740677189102154
478684.35922506136491.64077493863508
48105101.3872404450783.61275955492239
49114115.559227571633-1.55922757163251
5010098.94164100179011.05835899820995
5110099.71413024811160.285869751888379
529999.0504364527789-0.0504364527788831
53132132.648597992922-0.64859799292226
548284.6536195470347-2.65361954703467
55132129.6488750216542.3511249783458
56107105.7711096529341.22889034706607
57114113.9858477970420.0141522029575846
58110106.2113658739293.78863412607098
59105102.1465947500882.85340524991171
60121116.3660549152624.63394508473763
61109105.4844019793073.51559802069283
62106104.2942057453321.70579425466773
63124122.0761282297471.92387177025337
64120119.1011666003240.898833399676295
659192.945874444839-1.94587444483901
66126124.3156025442981.68439745570215
67138138.950652065484-0.950652065483895
68118116.8420934032141.15790659678571
69128127.5442594457520.455740554248025
709899.1537093007067-1.15370930070665
71133133.275182319006-0.275182319005775
72130129.6647746089140.335225391085704
73103100.6859310788272.31406892117278
74124124.615886097302-0.615886097301705
75142140.6876425052381.31235749476183
769698.0957053996178-2.09570539961778
779392.83551939261970.164480607380255
78129130.337486663767-1.33748666376717
79150150.00316037938-0.00316037937970743
808887.4595292678030.540470732197007
81125123.7768291052331.22317089476721
829290.81994582470781.18005417529225
830111.521846096125-111.521846096125
84117116.5291066825870.470893317412633
85112112.706575224952-0.706575224951994
86144142.3478067892071.65219321079271
87130128.8679316480811.13206835191945
888786.46861339198040.531386608019574
899292.406220379291-0.406220379291012
90114114.525548547202-0.525548547202209
918179.59019859404551.40980140595453
92127125.9228025997231.0771974002766
93115115.044899644787-0.0448996447870464
94123124.352843239454-1.35284323945401
95115115.022911253751-0.0229112537506782
96117116.4047611516660.595238848333896
97117115.3624295012041.63757049879575
98103101.7010132179171.29898678208275
99108107.2990297954090.700970204590686
100139137.0431793371751.95682066282458
101113111.4313732908591.56862670914053
1029794.94081963595982.05918036404023
103117115.0919235657641.90807643423641
104133131.8334789984171.1665210015834
105115115.581804154837-0.581804154837429
106103104.655486642275-1.6554866422746
1079594.51219020344140.487809796558615
108117117.82544450436-0.825444504360412
109113112.7006952429660.299304757034478
110127129.23926699001-2.23926699000958
111126125.5557223503330.444277649666606
112119117.9984961440811.00150385591918
1139794.26826924908292.73173075091707
114105104.3699478432390.630052156761093
115140140.100259931591-0.100259931591244
1169188.76862001038232.23137998961774
117112111.9063523989390.0936476010607919
118113113.337108179912-0.33710817991246
11910297.46504964175024.53495035824977
1209290.94942225890881.05057774109123
1219898.9640797848208-0.964079784820795
122122122.139845911927-0.139845911926995
12310099.83797672595620.162023274043825
1248481.92117137771422.07882862228582
125142138.3978043355533.6021956644467
126124122.5400291856281.45997081437155
127137134.5942875747932.40571242520671
128105104.2997329578060.700267042194244
129106105.0890813315340.910918668466262
130125123.3078635708661.69213642913437
131104102.6708200294931.32917997050656
132130131.998211946236-1.99821194623632
1337980.0543463282567-1.05434632825672
134108108.851885279045-0.851885279044838
135136134.38330988341.61669011660015
1369896.69115087183921.3088491281608
137120124.262560489209-4.26256048920895
138108108.412134989803-0.412134989802552
139139139.52760161114-0.52760161114
140123122.2578577451720.742142254827986
1419088.02648969365851.9735103063415
142119119.20830881189-0.208308811890207
143105107.317942997046-2.31794299704575
144110108.0962188754751.90378112452471
145135134.6564297457020.343570254298257
14610197.73626499460263.2637350053974
147114112.6169797902181.38302020978177
148118116.2471951584111.75280484158896
149120118.2907200456381.70927995436235
150108110.478193704572-2.47819370457178
151114111.3530831964962.6469168035038
152122121.8636960710880.136303928911497
153132130.3721708672191.62782913278084
154130128.815529744191.18447025581015
155130131.637912154296-1.63791215429599
156112112.310654761784-0.310654761783773
157114117.012311721777-3.01231172177714
158103104.087942153444-1.08794215344375
159115114.6565878227650.343412177235305
160108106.4165453800291.58345461997058
1619494.4043630444043-0.404363044404341
162105105.156006337304-0.156006337303583


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
136.19613467228262e-461.23922693445652e-451
145.14596865358409e-611.02919373071682e-601
155.20191374048204e-761.04038274809641e-751
161.16889374181973e-902.33778748363946e-901
172.39199113514881e-1104.78398227029762e-1101
181.71971953832417e-1263.43943907664835e-1261
193.76703087815383e-1347.53406175630765e-1341
204.58814625041776e-1499.17629250083553e-1491
214.60859904689754e-1689.21719809379508e-1681
226.53073672003436e-1871.30614734400687e-1861
237.1568672563032e-1931.43137345126064e-1921
243.67273096000514e-2097.34546192001029e-2091
253.57904782763809e-2327.15809565527617e-2321
263.19236862602127e-2456.38473725204255e-2451
271.9578088446052e-2593.9156176892104e-2591
285.06158799842713e-2771.01231759968543e-2761
297.06366500202567e-2811.41273300040513e-2801
303.00168547614631e-3106.00337095229261e-3101
319.88131291682493e-3241.97626258336499e-3231
32001
33001
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41001
42001
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93100
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102100
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110100
111100
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122100
123100
124100
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129100
130100
13111.00734846904313e-3175.03674234521567e-318
13215.90568789478025e-3012.95284394739012e-301
13311.02137262022903e-2795.10686310114517e-280
13419.79407137186415e-2834.89703568593208e-283
13511.16400567482541e-2665.82002837412706e-267
13611.90097525497101e-2409.50487627485504e-241
13712.49313006360352e-2231.24656503180176e-223
13814.48256135513858e-2152.24128067756929e-215
13915.91766434775965e-1982.95883217387982e-198
14014.44440947341153e-1792.22220473670576e-179
14119.88409710341578e-1644.94204855170789e-164
14211.16937011408297e-1545.84685057041484e-155
14314.1384984240254e-1422.0692492120127e-142
14419.362451329071e-1254.6812256645355e-125
14513.03131485373578e-1121.51565742686789e-112
14617.02067029702497e-913.51033514851249e-91
14711.93533519069677e-759.67667595348385e-76
14813.89642009782747e-651.94821004891374e-65
14911.88929018934962e-469.44645094674809e-47


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1371NOK
5% type I error level1371NOK
10% type I error level1371NOK