The title of each graph of the statistical study indicates the parents variables (R or M & F) to which the correlations are related. These correlations are represented by each point of the coloured lines corresponding to each examined C variable (children).

Likewise, the variables of unknown order, formed by the different groups of 1 to 10 values from the 70 IQ values of each parent and children variables are placed on the left hand side of the graph. The groups of 1 to 10 values located on the right hand side have been previously ordered with the variable mentioned at the bottom of the graph.

Indeed, an almost instantaneous perception of the exactitude of the particular specification of the statistical study is obtained; sixty coefficients of determination (r²) are shown in a way that highlights the global and underlying relations of the involved data set.

See the methodology of the statistical abstract for more details



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 geneticsConditional intelligenceGobal Cognitive Theory) adjusts perfectly, showing an 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.

As you can see by its form and its values, this graph is different from the other two with the same variables (q024 y q064°), the difference is the effect on variables R y * M1F1 due to the variation that evolution parameters ( ° ), which allows us to make the statistical analysis of the Globus Model.

The general multidimensional correlation index (GMCI) is 14,46 and goes to 16,07 and 17,77 respectively.

The highest determination coefficient of this graph is 0,72 and goes to 0,92 and 0,89 respectively.