Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 11.7355599214145 + 0.309626719056974Leeftijd[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.73555992141451.5157997.742200
Leeftijd0.3096267190569740.261731.1830.2415540.120777


Multiple Linear Regression - Regression Statistics
Multiple R0.152218745551693
R-squared0.0231705464973311
Adjusted R-squared0.00661411508203169
F-TEST (value)1.39948917228139
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0.241554263220562
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.39082414491427
Sum Squared Residuals337.246365422397


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11213.2836935166994-1.28369351669941
21713.59332023575643.40667976424361
31013.2836935166994-3.28369351669941
41413.59332023575640.406679764243615
51413.90294695481340.0970530451866404
61414.2125736738703-0.212573673870334
71813.28369351669944.71630648330059
81713.28369351669943.71630648330059
91614.83182711198431.16817288801572
101113.2836935166994-2.28369351669941
111313.2836935166994-0.283693516699411
121413.28369351669940.716306483300589
131613.28369351669942.71630648330059
14913.2836935166994-4.28369351669941
151513.28369351669941.71630648330059
161313.2836935166994-0.283693516699411
171513.28369351669941.71630648330059
181613.28369351669942.71630648330059
191213.5933202357564-1.59332023575638
201313.2836935166994-0.283693516699411
211413.28369351669940.716306483300589
221113.2836935166994-2.28369351669941
231213.2836935166994-1.28369351669941
241213.5933202357564-1.59332023575638
25813.2836935166994-5.28369351669941
261313.9029469548134-0.90294695481336
271013.2836935166994-3.28369351669941
281213.5933202357564-1.59332023575638
291513.28369351669941.71630648330059
301413.28369351669940.716306483300589
311513.59332023575641.40667976424362
321313.5933202357564-0.593320235756385
331513.28369351669941.71630648330059
341313.9029469548134-0.90294695481336
351513.59332023575641.40667976424362
361613.28369351669942.71630648330059
371612.97406679764243.02593320235756
381513.28369351669941.71630648330059
391713.28369351669943.71630648330059
401513.90294695481341.09705304518664
411213.5933202357564-1.59332023575638
421113.5933202357564-2.59332023575638
43913.2836935166994-4.28369351669941
441513.90294695481341.09705304518664
451013.5933202357564-3.59332023575638
461413.59332023575640.406679764243615
471614.21257367387031.78742632612967
481713.59332023575643.40667976424362
491313.2836935166994-0.283693516699411
50913.2836935166994-4.28369351669941
511512.97406679764242.02593320235756
521513.28369351669941.71630648330059
531113.2836935166994-2.28369351669941
541413.90294695481340.0970530451866404
551313.2836935166994-0.283693516699411
561613.28369351669942.71630648330059
571513.28369351669941.71630648330059
581113.2836935166994-2.28369351669941
591213.2836935166994-1.28369351669941
60913.9029469548134-4.90294695481336
611614.83182711198431.16817288801572


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.5844520379082410.8310959241835170.415547962091759
60.5310968112117220.9378063775765550.468903188788277
70.8202033801786260.3595932396427480.179796619821374
80.8341372184928470.3317255630143060.165862781507153
90.7662578829787040.4674842340425910.233742117021296
100.7906354573238510.4187290853522980.209364542676149
110.7144114492965230.5711771014069540.285588550703477
120.6249368396069590.7501263207860820.375063160393041
130.6091320501780080.7817358996439840.390867949821992
140.797427732732280.4051445345354410.20257226726772
150.7539919168611970.4920161662776060.246008083138803
160.6831095500853230.6337808998293540.316890449914677
170.6322716507765350.735456698446930.367728349223465
180.6302548870421010.7394902259157990.3697451129579
190.6006265058592960.7987469882814090.399373494140704
200.5246041666298020.9507916667403950.475395833370198
210.4479780318612160.8959560637224320.552021968138784
220.4515405066482780.9030810132965560.548459493351722
230.3999095579446470.7998191158892940.600090442055353
240.3630850089372740.7261700178745480.636914991062726
250.6415034899633970.7169930200732060.358496510036603
260.5791044660204230.8417910679591540.420895533979577
270.6348489957133650.730302008573270.365151004286635
280.5925709091156490.8148581817687020.407429090884351
290.55624535692260.88750928615480.4437546430774
300.4876750013157130.9753500026314270.512324998684287
310.4366086543800920.8732173087601830.563391345619908
320.3677120782745820.7354241565491630.632287921725418
330.3314308651695490.6628617303390980.668569134830451
340.2742432557998760.5484865115997520.725756744200124
350.2326672287588910.4653344575177820.767332771241109
360.2449310718587140.4898621437174280.755068928141286
370.2799724784663540.5599449569327080.720027521533646
380.2519836002740610.5039672005481230.748016399725939
390.3610953294973360.7221906589946730.638904670502664
400.3068128835473220.6136257670946430.693187116452678
410.2610156701232480.5220313402464960.738984329876752
420.2569186726276270.5138373452552550.743081327372373
430.3792958733242230.7585917466484470.620704126675777
440.3175846313140040.6351692626280080.682415368685996
450.3962840649175690.7925681298351390.603715935082431
460.3159082813717360.6318165627434730.684091718628264
470.2774666287756990.5549332575513980.722533371224301
480.3696994317560150.7393988635120310.630300568243985
490.2827094172370440.5654188344740890.717290582762956
500.437241247453230.874482494906460.56275875254677
510.4059864297230380.8119728594460770.594013570276962
520.3754705261541070.7509410523082150.624529473845893
530.3221402137047040.6442804274094080.677859786295296
540.2200366724782440.4400733449564880.779963327521756
550.1322506018877410.2645012037754830.867749398112259
560.1813797683281180.3627595366562350.818620231671882


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 level00OK