Binary Logistic Regression with Bootstrap. Method to analyze the relationship between demographic variables and psychological prices.

This study starts from the following research question, What is the level of discrimination of the variables age, gender and education level in the purchasing decision of consumers who selected the product (tuna) the criteria for psychological prices ?

The results obtained by the method of binary logistic regression with Bootstrap, are conclusive; the covariate gender buyer measured by Wald statistic is highly significant (12.96) with a Sig. (000). Discarding the variables age and education level buyers. Which means in practical terms that it is women who largely decided in favor of psychological prices. So, we have that the odd ratio is 2.47 with men.