Multiple Linear Regression - Estimated Regression Equation
Motivatie [t] = + 9.14633507867205 -1.81476642609309Month[t] + 0.660426923209475I1[t] + 0.913320682573446I2[t] + 1.21857176661374I3[t] + 1.37907750059826E1[t] + 1.05887786115399E2[t] + 0.808400555186031E3[t] -0.904306609396609A[t] + 0.106491027159751Happiness[t] + 0.415498095627485Depression[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.1463350786720517.461240.52380.601180.30059
Month-1.814766426093091.493619-1.2150.2262580.113129
I10.6604269232094750.2998682.20240.0291540.014577
I20.9133206825734460.2586253.53150.0005480.000274
I31.218571766613740.2036725.98300
E11.379077500598260.287964.78914e-062e-06
E21.058877861153990.2206364.79924e-062e-06
E30.8084005551860310.2275343.55290.0005090.000254
A-0.9043066093966090.316114-2.86070.0048270.002413
Happiness0.1064910271597510.37540.28370.7770490.388525
Depression0.4154980956274850.2833331.46650.1446010.0723


Multiple Linear Regression - Regression Statistics
Multiple R0.874676366947763
R-squared0.765058746896938
Adjusted R-squared0.74949972351263
F-TEST (value)49.1713861468002
F-TEST (DF numerator)10
F-TEST (DF denominator)151
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.21102282747211
Sum Squared Residuals12811.2841707601


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1127125.9268226930481.07317730695217
2108109.050568989293-1.05056898929301
3110111.778986151574-1.77898615157352
4102101.0294238572670.97057614273303
5104107.255574891572-3.25557489157187
6140141.437423630298-1.43742363029765
7112114.065517188685-2.0655171886852
8115118.199430199826-3.19943019982613
9121118.3155114711572.68448852884325
10112111.7693762049880.23062379501224
11118117.3242290870630.675770912936877
12122120.2435951611531.75640483884743
13105107.819072445686-2.81907244568628
14111110.2457143349050.754285665095247
15151151.160747963405-0.160747963404976
16106106.367690462514-0.367690462513767
17100102.391708392058-2.39170839205834
18149149.371575293726-0.371575293725976
19122119.1881437773372.81185622266342
20115116.406595930793-1.40659593079299
218683.85126972537382.14873027462623
22124125.339449034525-1.3394490345245
236971.5563365360578-2.55633653605781
24117117.952166572755-0.952166572755087
25113114.127788205929-1.12778820592905
26123121.4896613598261.51033864017385
27123123.066094741199-0.0660947411993835
288481.65980102932632.34019897067372
299792.77250344072674.22749655927334
30121121.019038529888-0.0190385298884379
31132131.4513757667280.548624233271807
32119120.342900162575-1.34290016257467
339899.8316098675682-1.83160986756821
348787.8000199282711-0.800019928271051
3510199.06542573282631.93457426717368
36115114.5070061258340.49299387416555
37109110.668071726002-1.66807172600188
38109109.760102859256-0.760102859256429
39159158.5617597039760.438240296024335
40129128.3715790259390.628420974060756
41119119.258758421785-0.258758421785039
42119117.3326231638431.66737683615663
43122120.2590199828331.74098001716691
44131130.9476571063990.0523428936006416
45120116.2282335965463.77176640345371
468282.7937708111519-0.793770811151905
478685.18885414540510.811145854594933
48105101.8397169713553.16028302864525
49114117.022798642444-3.02279864244444
5010099.81713161300240.182868386997577
51100100.949335310853-0.949335310853034
5299100.23610978519-1.2361097851899
53132133.878202894969-1.8782028949694
548285.8349862608306-3.83498626083059
55132130.6742114292921.32578857070821
56107106.7676144434560.232385556543756
57114115.175007545983-1.17500754598307
58110106.7983153967823.20168460321812
59105102.7632697797482.23673022025246
60121117.7217899483193.27821005168125
61109106.447153891852.55284610815048
62106105.2650312355770.73496876442321
63124123.2521127309830.747887269016917
64120120.115200042914-0.115200042914454
659194.4335623386522-3.43356233865217
66126123.163067305422.83693269458026
67138138.735907029824-0.735907029824474
68118116.1884093481581.81159065184228
69128126.9180046709641.0819953290358
709898.340610702839-0.340610702839021
71133132.756742897110.24325710288975
72130129.2078474714770.792152528522924
7310399.86997049642613.13002950357393
74124124.042500398091-0.0425003980912473
75142140.0366979198271.9633020801735
769697.8464584600315-1.84645846003152
779392.38909179915910.610908200840869
78129129.863254982238-0.863254982237941
79150149.4700414448110.529958555188918
808886.45271698852181.54728301147815
81125122.7383853881042.2616146118962
829289.97457735410252.0254226458975
830110.442104920345-110.442104920345
84117115.7261539517011.27384604829926
85112112.227259354568-0.227259354567974
86144141.8031085626932.1968914373067
87130128.0679294465931.93207055340688
888785.57146708068791.42853291931213
899291.76117469130660.238825308693456
90114114.095796032336-0.0957960323356651
918179.0961594017331.90384059826699
92127125.4196581053881.5803418946121
93115114.1715685452680.828431454731858
94123123.897229178146-0.897229178145628
95115114.1741857572330.825814242767441
96117115.5810825368461.41891746315422
97117114.5650570075252.43494299247546
98103100.9571925878772.04280741212287
99108106.4780038121931.5219961878068
100139136.3796291774572.62037082254288
101113110.3651014470762.63489855292421
1029794.09676397320732.90323602679266
103117114.3637170057392.6362829942607
104133131.103575813391.89642418661003
105115115.128563216653-0.128563216652951
106103104.313838070927-1.31383807092667
1079593.70478389173781.29521610826223
108117117.412078265795-0.41207826579486
109113111.8561384127471.14386158725269
110127129.190425900043-2.19042590004297
111126124.3962354821311.60376451786861
112119117.0255534446291.97444655537096
1139793.40684331956633.59315668043372
114105103.8086553385661.19134466143379
115140139.4966760097850.503323990214753
1169187.94898806298783.05101193701222
117112111.1563399166220.843660083378263
118113112.5665482901470.433451709852506
11910296.26701086824165.73298913175845
1209290.24954496394121.75045503605879
1219898.5550684689398-0.555068468939809
122122121.7152317061280.284768293871702
12310098.81121022495881.18878977504121
1248481.39280366767512.60719633232491
125142137.0541317096124.94586829038753
126124121.7297834894352.2702165105651
127137133.8758233696753.12417663032496
128105103.2827083293851.71729167061516
129106104.5975004609791.40249953902091
130125122.7120301687912.28796983120887
131104102.0564514784131.94354852158719
132130131.85834290301-1.8583429030101
1337979.2905253673476-0.290525367347554
134108108.304404011296-0.304404011296267
135136133.748158297592.25184170240998
1369895.98861481090842.01138518909156
137120123.972832368826-3.97283236882611
138108107.7710680056690.228931994330829
139139139.036570154975-0.0365701549746791
140123121.6175161538231.38248384617716
1419086.9580659927213.04193400727898
142119118.4245223014150.575477698585144
143105106.808348822244-1.80834882224429
144110107.4133284973452.58667150265472
145135134.1042523164920.895747683507705
14610196.81517327173394.18482672826611
147114111.7234113757652.27658862423522
148118115.4234072516622.57659274833823
149120117.5821876088772.41781239112287
150108110.234136351665-2.23413635166477
151114110.4886897184283.51131028157247
152122121.0790518031080.920948196892075
153132129.5620171269052.43798287309477
154130129.4957317128080.504268287192434
155130131.118594751241-1.11859475124144
156112111.9407695397760.059230460224019
157114116.623932712062-2.62393271206233
158103103.516911386939-0.516911386938614
159115113.7665364626521.23346353734782
160108105.6100049657242.38999503427606
1619494.0937212870732-0.0937212870731477
162105103.0378674039011.96213259609924


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
147.68291080295446e-461.53658216059089e-451
157.73965437886944e-611.54793087577389e-601
161.52333314881676e-753.04666629763352e-751
171.49313803942259e-942.98627607884518e-941
181.25213227074104e-1102.50426454148208e-1101
193.52442996569439e-1197.04885993138877e-1191
204.43509000136717e-1348.87018000273433e-1341
211.07165667821454e-1522.14331335642907e-1521
223.0796422061008e-1716.1592844122016e-1711
236.27931113307557e-1781.25586222661511e-1771
244.16196188825657e-1948.32392377651313e-1941
251.42265092009399e-2162.84530184018799e-2161
269.03720918077032e-2301.80744183615406e-2291
274.81081231635664e-2449.62162463271329e-2441
281.68009770297189e-2613.36019540594379e-2611
295.78538448490591e-2661.15707689698118e-2651
301.3274005045497e-2942.6548010090994e-2941
312.52193167362801e-3085.04386334725603e-3081
329.38724727098368e-3231.87744945419674e-3221
33001
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13011.57071418339055e-3137.85357091695276e-314
13112.3837353283947e-3021.19186766419735e-302
13211.21522894106968e-2856.0761447053484e-286
13312.80091371024345e-2651.40045685512173e-265
13411.57334488136451e-2667.86672440682257e-267
13511.47794578461202e-2487.38972892306008e-249
13611.9311020724604e-2269.65551036230199e-227
13714.36394933782826e-2092.18197466891413e-209
13813.96777884414631e-1981.98388942207315e-198
13915.03657785685886e-1832.51828892842943e-183
14013.99099911382509e-1641.99549955691254e-164
14115.5221432953879e-1492.76107164769395e-149
14213.91201689624834e-1401.95600844812417e-140
14311.92113176105958e-1249.60565880529791e-125
14417.18902572284261e-1103.59451286142131e-110
14513.54186771575893e-941.77093385787946e-94
14611.14322312378847e-755.71611561894237e-76
14714.22199361424355e-602.11099680712177e-60
14816.99066492989151e-483.49533246494576e-48


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1351NOK
5% type I error level1351NOK
10% type I error level1351NOK