Each vertex or round point of the Globus model graph represents the Global Multidimensional Correlation Index (GMCI) corresponding to the correlation graphs of the Global model between the dependent variable R°, or the M&F, with the dependent variable or variables; all arranged according to the * M1F1 ° arrangement criteria.
Displayed in the horizontal axis is the evolution percentage which in every case has been associated with the intelligence quotient (IQ) variables, M or F, in the generation of the variables R° and * M1P1°, which are the only ones that are affected by these changes in the parameters of evolution (°).
STATISTICAL ANALYSIS COMMENTS
1. General statistical significance
The great increase of the correlation for the estimation of homogenous groups cannot be imputed to the reduction of 68 to 5 or 4 degrees of freedom, since the estimation with non-homogenous groups, without previous rearrangement, has the same degrees of freedom and the correlation even lowers with respect to the sample without grouping.
When the model of the statistical analysis has more freedom with the two intelligence quotients' variables, M and F, either it definitely adjusts better by statistical effect or the statistical data set we have available is a particular case.
In general, the model of genetic evolution of intelligence (Mendelian genetics – Conditional intelligence – Gobal Cognitive Theory) adjusts perfectly, showing an r² superior to 0.9 in several cases. Bearing in mind the tendency to increase the goodness of fit with the size of rearranged groups, we could asume it would be over 0,9 in almost all the cases for groups bigger than 20, of course, it should be needed a bigger sample.
2. Globus Model - Sensitivity analysis with the parameters of evolution on the Global Model.
Considering that internal evolution parameters ( ° ) will affect the objective function R and variable *M1F1 of the sample's previous rearrangement, the effect on the correlations of changes in these parameters would allow us to see changes in the goodness-of-fit of the Global Model's specifications.
The complexity of the model is very high due to the existence of sex linked genes or chromosomes. Nevertheless, the statistical Global model is able to detect their different effect. Even more, it will be able to sense the effect of sexual attraction on mate selection.
Using sensitivity analysis of these parameters in the Globus model will show us their optimal magnitude. This type of analysis reconfirms the Global and Social Models of evolution of intelligence.
The analysis with original variables is not as conclusive as with centred variables, the later generate more precise results.
The graph shows that the best adjustment is obtained for a value of 5% for each of the parameters of internal evolution, direct and indirect.
The Globus model is a statistical proof of evolution and it should be difficult to justify an increase of 10% in intellectual abilities with the classical theory of Darwin. On the contrary, the statistical analysis curried out is fully consistent with the General Theory of Conditional Evolution of Life.
3. Significant figures of this particular graph of the statistical analysis.
The dependent variable is X3 of the children with the hypothesis of sexual selection.
It could be said that the graphs are speak for themselves. This graph shows the optimal goodness-of-fit is achieve with a internal evolution parameter of 5% of the masculine IQs
The optimal percentage is clearer with the variable X6 of the children with the hypothesis of sexual selectio than the other variables.
Also, the behaviour of variable R ° is closer to M & F as we have seen in previous cases.
The synchronisation of R ° and M & F with the hypothesis of sexual selection and X6 confirms the power of R ° to detect the effects of M & F in relation with the heritability of intelligence.
A good way of understanding the analysis of the Globus Model is to view the three graphs and concentrating in the reason of the improvement of the results.