Multiple Linear Regression - Estimated Regression Equation |
Mannen[t] = + 1.47225344598702 + 0.641840671951961Vrouwen[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) | 1.47225344598702 | 0.649886 | 2.2654 | 0.027173 | 0.013587 |
Vrouwen | 0.641840671951961 | 0.072824 | 8.8136 | 0 | 0 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.753879276459745 |
R-squared | 0.568333963475469 |
Adjusted R-squared | 0.561017589975053 |
F-TEST (value) | 77.6797362030753 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 59 |
p-value | 2.33868480137289e-12 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.529430133094432 |
Sum Squared Residuals | 16.5374796838749 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 5.3 | 5.96513814965075 | -0.665138149650752 |
2 | 5.7 | 5.96513814965075 | -0.265138149650748 |
3 | 5.6 | 5.90095408245555 | -0.300954082455553 |
4 | 5.5 | 5.90095408245555 | -0.400954082455553 |
5 | 5.6 | 6.02932221684594 | -0.429322216845945 |
6 | 5.9 | 6.28605848562673 | -0.386058485626729 |
7 | 6 | 6.22187441843153 | -0.221874418431533 |
8 | 7 | 7.18463542635947 | -0.184635426359475 |
9 | 6.6 | 6.7995310231883 | -0.199531023188299 |
10 | 6.6 | 6.7995310231883 | -0.199531023188299 |
11 | 6.3 | 7.24881949355467 | -0.94881949355467 |
12 | 6.3 | 7.18463542635947 | -0.884635426359475 |
13 | 6.3 | 7.12045135916428 | -0.820451359164279 |
14 | 6.3 | 6.47861068721232 | -0.178610687212317 |
15 | 6.2 | 6.47861068721232 | -0.278610687212317 |
16 | 6.2 | 6.47861068721232 | -0.278610687212317 |
17 | 6.3 | 7.37718762794506 | -1.07718762794506 |
18 | 6.4 | 7.44137169514026 | -1.04137169514026 |
19 | 6.4 | 7.37718762794506 | -0.977187627945062 |
20 | 7.8 | 6.99208322477389 | 0.807916775226114 |
21 | 7.7 | 6.92789915757869 | 0.77210084242131 |
22 | 7.7 | 6.92789915757869 | 0.77210084242131 |
23 | 7.7 | 7.24881949355467 | 0.45118050644533 |
24 | 7.7 | 7.24881949355467 | 0.45118050644533 |
25 | 7.6 | 7.12045135916428 | 0.479548640835721 |
26 | 7.5 | 6.60697882160271 | 0.89302117839729 |
27 | 7.4 | 6.54279475440751 | 0.857205245592487 |
28 | 7.4 | 6.6711628887979 | 0.728837111202095 |
29 | 7.5 | 7.44137169514026 | 0.0586283048597409 |
30 | 7.6 | 7.50555576233546 | 0.0944442376645446 |
31 | 7.6 | 7.50555576233546 | 0.0944442376645446 |
32 | 8.1 | 7.44137169514026 | 0.65862830485974 |
33 | 7.8 | 7.24881949355467 | 0.55118050644533 |
34 | 8 | 7.31300356074987 | 0.686996439250134 |
35 | 7.9 | 7.69810796392104 | 0.201892036078958 |
36 | 7.9 | 7.69810796392104 | 0.201892036078958 |
37 | 7.8 | 7.63392389672585 | 0.166076103274153 |
38 | 6.7 | 6.7995310231883 | -0.099531023188298 |
39 | 6.6 | 6.7353469559931 | -0.135346955993102 |
40 | 6.6 | 6.8637150903835 | -0.263715090383494 |
41 | 7.7 | 8.2757645686778 | -0.575764568677807 |
42 | 7.9 | 8.4683167702634 | -0.568316770263396 |
43 | 8 | 8.4683167702634 | -0.468316770263397 |
44 | 7.7 | 7.63392389672585 | 0.0660761032741534 |
45 | 7.5 | 7.44137169514026 | 0.0586283048597409 |
46 | 7.6 | 7.44137169514026 | 0.158628304859741 |
47 | 7.8 | 7.63392389672585 | 0.166076103274153 |
48 | 7.8 | 7.56973982953065 | 0.230260170469349 |
49 | 7.7 | 7.56973982953065 | 0.130260170469349 |
50 | 7.4 | 7.24881949355467 | 0.15118050644533 |
51 | 7.5 | 7.18463542635947 | 0.315364573640526 |
52 | 7.2 | 7.24881949355467 | -0.0488194935546702 |
53 | 7.5 | 7.95484423270183 | -0.454844232701827 |
54 | 7.6 | 8.01902829989702 | -0.419028299897023 |
55 | 7.6 | 8.01902829989702 | -0.419028299897023 |
56 | 7.8 | 7.56973982953065 | 0.230260170469349 |
57 | 7.7 | 7.44137169514026 | 0.258628304859741 |
58 | 7.7 | 7.44137169514026 | 0.258628304859741 |
59 | 8.2 | 7.50555576233545 | 0.694444237664544 |
60 | 8.2 | 7.44137169514026 | 0.75862830485974 |
61 | 8.1 | 7.31300356074987 | 0.786996439250133 |