## STATISTICAL GRAPH

The title of each graph of the statistical study indicates the parents' variables **(R or M & F)** to which the correlations relate. Each point of the colored lines represents the correlations with the observational **C** variables of the 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, appear on the left-hand side of the graph. The criteria order of the groups of 1 to 10 values located on the right-hand side is the variable mentioned at the bottom of the graph.

Indeed, there is an almost instantaneous perception of the exactitude of the particular specification of the statistical study; each graph shows sixty coefficients of determination (r²) highlighting the global and underlying relations of the involved data set.

See the methodology of the statistical abstract for more details

## STATISTICAL STUDY COMMENTS

## 1. General statistical significance

The considerable increase of the correlation for the estimation of **homogenous groups** is not due 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 concerning the sample without grouping.

In general, the model of the genetic evolution of intelligence (Mendelian genetics – Conditional intelligence – Global 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 assume it would be **over 0,9 in almost all the cases **for grander groups within a more significant sample.

## 2. Social Model and evidence of the LoVeInf method

The Social Model shows the criterion of arrangement based on ***M1F1** is robust, confirming the behavior predictions derived from the presence of the Logical Verification of Information method (LoVeInf) pointed out by the Conditional Evolution of Life (CEL).

The research uses the rearrangement criterion opposite of ***M1F1** to assure the behavior foreseen by the LoVeInf method; that is to say, the order of the vector ***2F2M** formed by the grater values of **M2** and **F2.**

The result is substantially weaker with ***2F2M** than with the ***M1F1;** therefore, we may assume more rigorously that the LoVeInf method is operative in the genetic characters associated with intelligence.

The inclusion of another two rearrangement criteria in the analysis of the centered variables tries to find even more evidence, that is to say, mother’s variable ***M** and father’s variable ***F.**

For these two vectors of the progenitors, the results are different, symmetrical and superior compared to those obtained with variable ***2F2M,** although they are quite inferior in respect to ***M1F1.**

## 3. Significant comments on this particular graph

It is curious the different behaviour between variables **T1** y **T4** of the children and **WB** variable of the children. No doubt it must be that their origin is not the same type of intellengece test.

With the same arrangement criterion ***M** of the mother's IQ, if correlations for the variables of the children **T1** y **T4** are low, for the **WB** variable are extremely low.

The general multidimensional correlation index (**GMCI**) is 8,48 which is significantly lower than other arrangement criterions. Also, it is smaller with original variables than centered variables.

Likewise, the highest determination coefficient **r²** of this graph is 0,61 which is one of the lowest of The EDI Study, as all the graphs of this statistical research.