Multiple Linear Regression - Estimated Regression Equation |
Competence[t] = + 4.59399534068267 -0.0960101540567729Focus[t] -0.0680960967195073Neatness[t] -0.0295001752219747Upset[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 4.59399534068267 | 0.387591 | 11.8527 | 0 | 0 |
Focus | -0.0960101540567729 | 0.078476 | -1.2234 | 0.223907 | 0.111954 |
Neatness | -0.0680960967195073 | 0.081349 | -0.8371 | 0.404448 | 0.202224 |
Upset | -0.0295001752219747 | 0.054097 | -0.5453 | 0.58669 | 0.293345 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.173299448047482 |
R-squared | 0.030032698693562 |
Adjusted R-squared | 0.00231934722766380 |
F-TEST (value) | 1.08369060777502 |
F-TEST (DF numerator) | 3 |
F-TEST (DF denominator) | 105 |
p-value | 0.359376524702930 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.585286899054971 |
Sum Squared Residuals | 35.9688791915653 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 3 | 3.81956963668958 | -0.819569636689579 |
2 | 4 | 3.94507996596839 | 0.0549200340316064 |
3 | 4 | 3.87856998713359 | 0.121430012866407 |
4 | 4 | 3.87856998713359 | 0.121430012866407 |
5 | 4 | 3.87856998713359 | 0.121430012866407 |
6 | 3 | 3.81047389041409 | -0.810473890414085 |
7 | 5 | 3.84906981191162 | 1.15093018808838 |
8 | 4 | 3.9466660838531 | 0.0533339161468998 |
9 | 3 | 4.10009047046911 | -1.10009047046911 |
10 | 3 | 3.87856998713359 | -0.878569987133593 |
11 | 4 | 3.97458014119037 | 0.025419858809634 |
12 | 4 | 4.01158994480319 | -0.0115899448031898 |
13 | 4 | 4.07059029524714 | -0.0705902952471392 |
14 | 4 | 4.11077233462938 | -0.110772334629381 |
15 | 4 | 3.9466660838531 | 0.0533339161468998 |
16 | 4 | 3.81206000829879 | 0.187939991701206 |
17 | 4 | 3.9466660838531 | 0.0533339161468998 |
18 | 5 | 4.20678248868615 | 0.793217511313846 |
19 | 4 | 3.84906981191162 | 0.150930188088382 |
20 | 4 | 3.98367588746592 | 0.016324112534076 |
21 | 4 | 3.88766573340915 | 0.112334266590849 |
22 | 4 | 4.01158994480319 | -0.0115899448031898 |
23 | 5 | 4.0796860415227 | 0.920313958477303 |
24 | 4 | 3.88766573340915 | 0.112334266590849 |
25 | 4 | 3.87856998713359 | 0.121430012866407 |
26 | 4 | 3.87856998713359 | 0.121430012866407 |
27 | 4 | 3.81956963668964 | 0.180430363310357 |
28 | 4 | 3.97458014119037 | 0.025419858809634 |
29 | 4 | 3.84906981191162 | 0.150930188088382 |
30 | 4 | 3.78255983307682 | 0.217440166923180 |
31 | 4 | 3.75147353997014 | 0.248526460029864 |
32 | 3 | 3.84906981191162 | -0.849069811911618 |
33 | 4 | 3.81956963668964 | 0.180430363310357 |
34 | 4 | 3.87856998713359 | 0.121430012866407 |
35 | 3 | 3.9466660838531 | -0.9466660838531 |
36 | 3 | 3.81956963668964 | -0.819569636689643 |
37 | 2 | 3.85816555818718 | -1.85816555818718 |
38 | 3 | 3.87856998713359 | -0.878569987133593 |
39 | 4 | 3.81956963668964 | 0.180430363310357 |
40 | 4 | 3.79165557935238 | 0.208344420647622 |
41 | 4 | 3.72197336474816 | 0.278026635251839 |
42 | 4 | 3.84906981191162 | 0.150930188088382 |
43 | 5 | 4.13868639196665 | 0.861313608033353 |
44 | 4 | 3.91716590863113 | 0.0828340913688745 |
45 | 4 | 3.9466660838531 | 0.0533339161468998 |
46 | 4 | 3.90807016235557 | 0.0919298376444325 |
47 | 3 | 3.87856998713359 | -0.878569987133593 |
48 | 4 | 3.81956963668964 | 0.180430363310357 |
49 | 4 | 3.81956963668964 | 0.180430363310357 |
50 | 3 | 3.81956963668964 | -0.819569636689643 |
51 | 4 | 3.91557979074642 | 0.0844202092535834 |
52 | 3 | 3.87856998713359 | -0.878569987133593 |
53 | 3 | 3.81047389041409 | -0.810473890414085 |
54 | 5 | 3.97616625907507 | 1.02383374092493 |
55 | 2 | 3.98367588746592 | -1.98367588746592 |
56 | 4 | 3.90648404447086 | 0.0935159555291413 |
57 | 4 | 3.75147353997014 | 0.248526460029864 |
58 | 4 | 3.87856998713359 | 0.121430012866407 |
59 | 3 | 3.78255983307682 | -0.78255983307682 |
60 | 4 | 4.07217641313185 | -0.072176413131848 |
61 | 3 | 3.87856998713359 | -0.878569987133593 |
62 | 4 | 3.87856998713359 | 0.121430012866407 |
63 | 4 | 3.81047389041409 | 0.189526109585915 |
64 | 4 | 3.87856998713359 | 0.121430012866407 |
65 | 4 | 3.90807016235557 | 0.0919298376444325 |
66 | 4 | 3.72197336474816 | 0.278026635251839 |
67 | 5 | 3.84906981191162 | 1.15093018808838 |
68 | 5 | 3.9466660838531 | 1.0533339161469 |
69 | 3 | 3.90807016235557 | -0.908070162355567 |
70 | 4 | 3.87856998713359 | 0.121430012866407 |
71 | 3 | 3.81956963668964 | -0.819569636689643 |
72 | 4 | 3.87856998713359 | 0.121430012866407 |
73 | 5 | 3.79006946146767 | 1.20993053853233 |
74 | 5 | 3.91557979074642 | 1.08442020925358 |
75 | 4 | 3.84906981191162 | 0.150930188088382 |
76 | 4 | 3.9466660838531 | 0.0533339161468998 |
77 | 4 | 3.97458014119037 | 0.025419858809634 |
78 | 4 | 3.9466660838531 | 0.0533339161468998 |
79 | 4 | 3.81047389041409 | 0.189526109585915 |
80 | 4 | 3.81956963668964 | 0.180430363310357 |
81 | 4 | 3.81047389041409 | 0.189526109585915 |
82 | 5 | 3.81047389041409 | 1.18952610958591 |
83 | 4 | 4.01158994480319 | -0.0115899448031898 |
84 | 4 | 3.81956963668964 | 0.180430363310357 |
85 | 4 | 3.97458014119037 | 0.025419858809634 |
86 | 4 | 3.97458014119037 | 0.025419858809634 |
87 | 4 | 3.84906981191162 | 0.150930188088382 |
88 | 4 | 3.81047389041409 | 0.189526109585915 |
89 | 4 | 3.81956963668964 | 0.180430363310357 |
90 | 4 | 4.04267623790987 | -0.0426762379098734 |
91 | 3 | 4.01158994480319 | -1.01158994480319 |
92 | 4 | 3.8801561050183 | 0.119843894981698 |
93 | 4 | 4.07059029524714 | -0.0705902952471392 |
94 | 4 | 3.84906981191162 | 0.150930188088382 |
95 | 4 | 3.87856998713359 | 0.121430012866407 |
96 | 4 | 3.81956963668964 | 0.180430363310357 |
97 | 4 | 3.97458014119037 | 0.025419858809634 |
98 | 4 | 3.91716590863113 | 0.0828340913688745 |
99 | 4 | 4.04267623790987 | -0.0426762379098734 |
100 | 4 | 3.9466660838531 | 0.0533339161468998 |
101 | 4 | 3.9466660838531 | 0.0533339161468998 |
102 | 5 | 4.04267623790987 | 0.957323762090127 |
103 | 5 | 4.20678248868615 | 0.793217511313846 |
104 | 4 | 3.9466660838531 | 0.0533339161468998 |
105 | 4 | 3.87698386924888 | 0.123016130751116 |
106 | 3 | 4.20678248868615 | -1.20678248868615 |
107 | 4 | 4.11077233462938 | -0.110772334629381 |
108 | 4 | 3.88766573340915 | 0.112334266590849 |
109 | 4 | 3.91716590863113 | 0.0828340913688745 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
7 | 0.818847944712356 | 0.362304110575288 | 0.181152055287644 |
8 | 0.83325098144124 | 0.333498037117521 | 0.166749018558760 |
9 | 0.824542533248707 | 0.350914933502586 | 0.175457466751293 |
10 | 0.862861097871087 | 0.274277804257827 | 0.137138902128913 |
11 | 0.822882890596403 | 0.354234218807194 | 0.177117109403597 |
12 | 0.756613525870179 | 0.486772948259642 | 0.243386474129821 |
13 | 0.698440722302175 | 0.60311855539565 | 0.301559277697825 |
14 | 0.644773495945132 | 0.710453008109736 | 0.355226504054868 |
15 | 0.554333304145811 | 0.891333391708378 | 0.445666695854189 |
16 | 0.487595777940736 | 0.975191555881471 | 0.512404222059264 |
17 | 0.400573573439339 | 0.801147146878677 | 0.599426426560661 |
18 | 0.42893623573634 | 0.85787247147268 | 0.57106376426366 |
19 | 0.354779081640489 | 0.709558163280978 | 0.64522091835951 |
20 | 0.295705581941601 | 0.591411163883202 | 0.704294418058399 |
21 | 0.238541184631894 | 0.477082369263789 | 0.761458815368105 |
22 | 0.184981355444063 | 0.369962710888126 | 0.815018644555937 |
23 | 0.228467486318936 | 0.456934972637871 | 0.771532513681064 |
24 | 0.185115638316743 | 0.370231276633486 | 0.814884361683257 |
25 | 0.148197650709730 | 0.296395301419459 | 0.85180234929027 |
26 | 0.116106124249636 | 0.232212248499272 | 0.883893875750364 |
27 | 0.086251158589991 | 0.172502317179982 | 0.91374884141001 |
28 | 0.063497666818047 | 0.126995333636094 | 0.936502333181953 |
29 | 0.0458363329190485 | 0.091672665838097 | 0.954163667080951 |
30 | 0.0341280121227328 | 0.0682560242454656 | 0.965871987877267 |
31 | 0.0268266803763613 | 0.0536533607527226 | 0.973173319623639 |
32 | 0.048978957288047 | 0.097957914576094 | 0.951021042711953 |
33 | 0.0349215177333739 | 0.0698430354667478 | 0.965078482266626 |
34 | 0.025239430078 | 0.050478860156 | 0.974760569922 |
35 | 0.0599372227240794 | 0.119874445448159 | 0.94006277727592 |
36 | 0.0916778607372034 | 0.183355721474407 | 0.908322139262797 |
37 | 0.554245374502466 | 0.891509250995067 | 0.445754625497533 |
38 | 0.609253486604223 | 0.781493026791554 | 0.390746513395777 |
39 | 0.565232420625727 | 0.869535158748546 | 0.434767579374273 |
40 | 0.518976189150381 | 0.96204762169924 | 0.48102381084962 |
41 | 0.485077491476927 | 0.970154982953853 | 0.514922508523073 |
42 | 0.433785926428223 | 0.867571852856447 | 0.566214073571777 |
43 | 0.493590236654629 | 0.987180473309258 | 0.506409763345371 |
44 | 0.436998042071688 | 0.873996084143376 | 0.563001957928312 |
45 | 0.381170663013497 | 0.762341326026995 | 0.618829336986503 |
46 | 0.330397422250201 | 0.660794844500403 | 0.669602577749799 |
47 | 0.388445479598808 | 0.776890959197616 | 0.611554520401192 |
48 | 0.342284096880638 | 0.684568193761277 | 0.657715903119362 |
49 | 0.29782959753229 | 0.59565919506458 | 0.70217040246771 |
50 | 0.344638981179195 | 0.68927796235839 | 0.655361018820805 |
51 | 0.294979520308707 | 0.589959040617414 | 0.705020479691293 |
52 | 0.353403274570852 | 0.706806549141704 | 0.646596725429148 |
53 | 0.396515834320215 | 0.79303166864043 | 0.603484165679785 |
54 | 0.509177879108704 | 0.981644241782593 | 0.490822120891296 |
55 | 0.94801819718706 | 0.103963605625878 | 0.0519818028129391 |
56 | 0.932402595218174 | 0.135194809563652 | 0.0675974047818258 |
57 | 0.918536032604665 | 0.162927934790669 | 0.0814639673953347 |
58 | 0.896126942802547 | 0.207746114394905 | 0.103873057197453 |
59 | 0.928929188403855 | 0.142141623192291 | 0.0710708115961453 |
60 | 0.907715915535759 | 0.184568168928482 | 0.0922840844642409 |
61 | 0.945243436439503 | 0.109513127120994 | 0.0547565635604969 |
62 | 0.928696790759549 | 0.142606418480902 | 0.0713032092404511 |
63 | 0.910118026926717 | 0.179763946146567 | 0.0898819730732833 |
64 | 0.8858847738253 | 0.228230452349401 | 0.114115226174700 |
65 | 0.856039469588632 | 0.287921060822735 | 0.143960530411368 |
66 | 0.831526342097762 | 0.336947315804476 | 0.168473657902238 |
67 | 0.904693218914549 | 0.190613562170902 | 0.095306781085451 |
68 | 0.948693907045988 | 0.102612185908024 | 0.0513060929540122 |
69 | 0.975826620618669 | 0.0483467587626622 | 0.0241733793813311 |
70 | 0.966264910242338 | 0.0674701795153248 | 0.0337350897576624 |
71 | 0.987857934619893 | 0.0242841307602146 | 0.0121420653801073 |
72 | 0.982329599632934 | 0.0353408007341331 | 0.0176704003670665 |
73 | 0.994279228737036 | 0.0114415425259276 | 0.00572077126296379 |
74 | 0.9990937397548 | 0.00181252049040168 | 0.00090626024520084 |
75 | 0.99844211330055 | 0.00311577339890225 | 0.00155788669945112 |
76 | 0.997401691724402 | 0.00519661655119586 | 0.00259830827559793 |
77 | 0.995689011814536 | 0.00862197637092817 | 0.00431098818546409 |
78 | 0.993115056176063 | 0.0137698876478739 | 0.00688494382393694 |
79 | 0.989745707441608 | 0.0205085851167841 | 0.0102542925583921 |
80 | 0.984179016249116 | 0.0316419675017678 | 0.0158209837508839 |
81 | 0.97750229134775 | 0.0449954173045020 | 0.0224977086522510 |
82 | 0.991998171655602 | 0.0160036566887966 | 0.00800182834439832 |
83 | 0.98826372651996 | 0.0234725469600807 | 0.0117362734800404 |
84 | 0.98177636812894 | 0.0364472637421223 | 0.0182236318710612 |
85 | 0.971237619887101 | 0.0575247602257976 | 0.0287623801128988 |
86 | 0.955792783412647 | 0.0884144331747058 | 0.0442072165873529 |
87 | 0.934276400005866 | 0.131447199988268 | 0.065723599994134 |
88 | 0.905047757183366 | 0.189904485633268 | 0.0949522428166338 |
89 | 0.870227173957855 | 0.25954565208429 | 0.129772826042145 |
90 | 0.821031832237242 | 0.357936335525516 | 0.178968167762758 |
91 | 0.893458126066792 | 0.213083747866416 | 0.106541873933208 |
92 | 0.847246351225899 | 0.305507297548202 | 0.152753648774101 |
93 | 0.789255745622583 | 0.421488508754834 | 0.210744254377417 |
94 | 0.71491609987826 | 0.570167800243481 | 0.285083900121741 |
95 | 0.62910148711871 | 0.74179702576258 | 0.37089851288129 |
96 | 0.53114148777096 | 0.93771702445808 | 0.46885851222904 |
97 | 0.433535674516938 | 0.867071349033877 | 0.566464325483062 |
98 | 0.329114999084381 | 0.658229998168761 | 0.67088500091562 |
99 | 0.23667279689751 | 0.47334559379502 | 0.76332720310249 |
100 | 0.155964278371576 | 0.311928556743151 | 0.844035721628424 |
101 | 0.0945647947033798 | 0.189129589406760 | 0.90543520529662 |
102 | 0.129303024658811 | 0.258606049317621 | 0.87069697534119 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 4 | 0.0416666666666667 | NOK |
5% type I error level | 15 | 0.15625 | NOK |
10% type I error level | 24 | 0.25 | NOK |