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Relationships between variables were estimated with the simple and multiple regression analysis.
Contour plots and multiple regression analysis were used to study the effect of selected independent variables on dependent variables.
For relationships among several independent variables against a dependent variable multiple regression analysis will be used.
Discriminant analysis with Tree Classifiers was used to select explanatory variables in multiple regression analysis.
All other variables in the multiple regression analysis were categorical variables.
We performed a two-step, fixed entry, multiple regression analysis on the entire sample of children with dyslexia (n = 28).
The latter variables entered standard multiple regression analysis (Table 3).
Correlation coefficients and stepwise multiple regression analysis evaluated relationships among variables measured.
Relationships between variables were estimated with Pearson correlation coefficient analysis and with multiple regression analysis.
All possible variables were included in multiple regression analysis.
Associations were calculated between each class of benzodiazepine and eight neuropsychological measures, using multiple regression analysis and controlling for demographic variables.
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