Multiple Linear Regression - Estimated Regression Equation |
Totale_score[t] = + 0.98034468063275 -0.0207239953818484time_in_rfc[t] + 0.00517328518621255logins[t] + 0.0776257841385451compendiums_reviewed[t] -0.100729529199834`What_is_your_age?`[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) | 0.98034468063275 | 4.167887 | 0.2352 | 0.814794 | 0.407397 |
time_in_rfc | -0.0207239953818484 | 0.019484 | -1.0637 | 0.291483 | 0.145742 |
logins | 0.00517328518621255 | 0.009789 | 0.5285 | 0.598981 | 0.299491 |
compendiums_reviewed | 0.0776257841385451 | 0.043863 | 1.7697 | 0.081538 | 0.040769 |
`What_is_your_age?` | -0.100729529199834 | 0.207086 | -0.4864 | 0.628334 | 0.314167 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.225721445480674 |
R-squared | 0.0509501709498847 |
Adjusted R-squared | -0.0083654433657474 |
F-TEST (value) | 0.85896726414679 |
F-TEST (DF numerator) | 4 |
F-TEST (DF denominator) | 64 |
p-value | 0.493481854593082 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 2.27374461140365 |
Sum Squared Residuals | 330.874531704776 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | -3 | 0.201456984652596 | -3.2014569846526 |
2 | -2 | -0.446845440490675 | -1.55315455950932 |
3 | 0 | 0.0722317331242386 | -0.0722317331242386 |
4 | 0 | 0.0280596828305829 | -0.0280596828305829 |
5 | 0 | 0.00542331780697853 | -0.00542331780697853 |
6 | -4 | 0.70313880609304 | -4.70313880609304 |
7 | 1 | -0.308909242218396 | 1.3089092422184 |
8 | 2 | -0.214287614506427 | 2.21428761450643 |
9 | -4 | 0.205025633476716 | -4.20502563347672 |
10 | 0 | 1.13114960291358 | -1.13114960291358 |
11 | 0 | -0.501296720423439 | 0.501296720423439 |
12 | -3 | 0.0352757822590219 | -3.03527578225902 |
13 | 0 | 0.306365385809782 | -0.306365385809782 |
14 | -4 | 1.01324309399704 | -5.01324309399704 |
15 | -2 | 0.0786955868092298 | -2.07869558680923 |
16 | 0 | 1.44036318070863 | -1.44036318070863 |
17 | -1 | 0.138399742677974 | -1.13839974267797 |
18 | -3 | 0.279559711784805 | -3.2795597117848 |
19 | 4 | 0.914717157838312 | 3.08528284216169 |
20 | 2 | 0.824125177536944 | 1.17587482246306 |
21 | 1 | 1.2332021280767 | -0.233202128076704 |
22 | 0 | 0.807571399213803 | -0.807571399213803 |
23 | -1 | 0.361401839347199 | -1.3614018393472 |
24 | -2 | 0.490660147857684 | -2.49066014785768 |
25 | 0 | 0.856810559113752 | -0.856810559113752 |
26 | -2 | -0.104651983520685 | -1.89534801647932 |
27 | 1 | 0.120736171170336 | 0.879263828829664 |
28 | 2 | 0.269381035863454 | 1.73061896413655 |
29 | 0 | 0.252825204519245 | -0.252825204519245 |
30 | 0 | 0.883804454644346 | -0.883804454644346 |
31 | 4 | 0.711938157686442 | 3.28806184231356 |
32 | 3 | 0.784703601451769 | 2.21529639854823 |
33 | 4 | 0.13011795446498 | 3.86988204553502 |
34 | 3 | 0.300175816912614 | 2.69982418308739 |
35 | 1 | -0.505571149248189 | 1.50557114924819 |
36 | -2 | 0.574406094703177 | -2.57440609470318 |
37 | 2 | 0.0342765393821771 | 1.96572346061782 |
38 | 2 | 0.0678781410261091 | 1.93212185897389 |
39 | 3 | -0.0186189026294481 | 3.01861890262945 |
40 | 3 | 1.35339358293722 | 1.64660641706278 |
41 | 2 | 0.704424534314165 | 1.29557546568583 |
42 | 3 | 1.10897416244096 | 1.89102583755904 |
43 | 2 | 1.40660637793668 | 0.59339362206332 |
44 | 3 | 1.47895387635545 | 1.52104612364455 |
45 | 2 | 0.437637880802902 | 1.5623621191971 |
46 | 6 | 0.51032765098624 | 5.48967234901376 |
47 | 2 | 0.13866700886144 | 1.86133299113856 |
48 | 1 | -0.291817352600408 | 1.29181735260041 |
49 | 2 | 1.12668723278231 | 0.873312767217694 |
50 | 0 | 0.206442455777595 | -0.206442455777595 |
51 | 1 | -0.500937670395719 | 1.50093767039572 |
52 | -3 | 0.166378478872634 | -3.16637847887263 |
53 | 0 | 0.0777073178276536 | -0.0777073178276536 |
54 | -3 | -0.211534180295099 | -2.7884658197049 |
55 | 2 | 0.568420294490378 | 1.43157970550962 |
56 | 2 | 0.771725798916441 | 1.22827420108356 |
57 | 0 | 0.408469911536534 | -0.408469911536534 |
58 | 2 | 1.12882630167106 | 0.871173698328936 |
59 | 0 | 0.322493741599613 | -0.322493741599613 |
60 | 0 | 0.889340346882734 | -0.889340346882734 |
61 | -1 | 0.315491611081636 | -1.31549161108164 |
62 | 3 | 0.784831529200677 | 2.21516847079932 |
63 | 3 | 0.775292323385756 | 2.22470767661424 |
64 | -4 | 0.877247255212998 | -4.877247255213 |
65 | -1 | -0.25931440168096 | -0.74068559831904 |
66 | 2 | 0.156381282553191 | 1.84361871744681 |
67 | 0 | -0.380949154273884 | 0.380949154273884 |
68 | -3 | 0.302124813259791 | -3.30212481325979 |
69 | 0 | 0.470768216844002 | -0.470768216844002 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
8 | 0.505687956862574 | 0.988624086274853 | 0.494312043137426 |
9 | 0.459689864029866 | 0.919379728059733 | 0.540310135970134 |
10 | 0.627474250464796 | 0.745051499070408 | 0.372525749535204 |
11 | 0.498206658369716 | 0.996413316739433 | 0.501793341630284 |
12 | 0.508441842718475 | 0.98311631456305 | 0.491558157281525 |
13 | 0.472565120700769 | 0.945130241401539 | 0.527434879299231 |
14 | 0.507765477814468 | 0.984469044371065 | 0.492234522185532 |
15 | 0.449669694336217 | 0.899339388672433 | 0.550330305663783 |
16 | 0.544665611550016 | 0.910668776899967 | 0.455334388449984 |
17 | 0.535379975755473 | 0.929240048489053 | 0.464620024244527 |
18 | 0.601791195577229 | 0.796417608845542 | 0.398208804422771 |
19 | 0.880042521635403 | 0.239914956729195 | 0.119957478364597 |
20 | 0.882139770765004 | 0.235720458469992 | 0.117860229234996 |
21 | 0.854124066502948 | 0.291751866994104 | 0.145875933497052 |
22 | 0.818616811845547 | 0.362766376308905 | 0.181383188154453 |
23 | 0.795338788712515 | 0.40932242257497 | 0.204661211287485 |
24 | 0.820739445446666 | 0.358521109106668 | 0.179260554553334 |
25 | 0.784319050056465 | 0.431361899887071 | 0.215680949943535 |
26 | 0.809878907913752 | 0.380242184172497 | 0.190121092086248 |
27 | 0.794952564765547 | 0.410094870468907 | 0.205047435234453 |
28 | 0.777752005550377 | 0.444495988899247 | 0.222247994449623 |
29 | 0.745650949441054 | 0.508698101117891 | 0.254349050558946 |
30 | 0.715602367880197 | 0.568795264239607 | 0.284397632119803 |
31 | 0.803856060416255 | 0.392287879167491 | 0.196143939583745 |
32 | 0.802577325173131 | 0.394845349653738 | 0.197422674826869 |
33 | 0.872956376890203 | 0.254087246219594 | 0.127043623109797 |
34 | 0.87366134157698 | 0.252677316846039 | 0.126338658423019 |
35 | 0.835122293363523 | 0.329755413272953 | 0.164877706636477 |
36 | 0.892809453393083 | 0.214381093213833 | 0.107190546606917 |
37 | 0.869619510907122 | 0.260760978185755 | 0.130380489092878 |
38 | 0.833994474353871 | 0.332011051292257 | 0.166005525646129 |
39 | 0.828199759785104 | 0.343600480429791 | 0.171800240214896 |
40 | 0.824315338177269 | 0.351369323645462 | 0.175684661822731 |
41 | 0.77787400618998 | 0.44425198762004 | 0.22212599381002 |
42 | 0.74193740005773 | 0.51612519988454 | 0.25806259994227 |
43 | 0.69844936968872 | 0.603101260622559 | 0.30155063031128 |
44 | 0.639450913776648 | 0.721098172446703 | 0.360549086223352 |
45 | 0.588150555177583 | 0.823698889644833 | 0.411849444822417 |
46 | 0.854790093519994 | 0.290419812960012 | 0.145209906480006 |
47 | 0.808946870964447 | 0.382106258071106 | 0.191053129035553 |
48 | 0.754763423679092 | 0.490473152641817 | 0.245236576320908 |
49 | 0.736722729800475 | 0.52655454039905 | 0.263277270199525 |
50 | 0.675518313091177 | 0.648963373817645 | 0.324481686908823 |
51 | 0.80079841327992 | 0.398403173440159 | 0.19920158672008 |
52 | 0.904279822995907 | 0.191440354008185 | 0.0957201770040927 |
53 | 0.932415528948864 | 0.135168942102273 | 0.0675844710511364 |
54 | 0.925463300749288 | 0.149073398501424 | 0.074536699250712 |
55 | 0.886764543363813 | 0.226470913272374 | 0.113235456636187 |
56 | 0.830753035269102 | 0.338493929461797 | 0.169246964730898 |
57 | 0.746121843905418 | 0.507756312189164 | 0.253878156094582 |
58 | 0.634083990972576 | 0.731832018054848 | 0.365916009027424 |
59 | 0.507439574933732 | 0.985120850132535 | 0.492560425066267 |
60 | 0.414581181980367 | 0.829162363960734 | 0.585418818019633 |
61 | 0.27338524901478 | 0.546770498029561 | 0.72661475098522 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 0 | 0 | OK |
5% type I error level | 0 | 0 | OK |
10% type I error level | 0 | 0 | OK |