'After paul’s professor told him that he had failed his exam, paul banged his fists on her desk, threw his books on the ground, and whined that the professor was being unfair. Paul was coping with his anxiety by using regression.
Regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model can indicate whether an observed change in the dependent variable is associated with changes in one or more of the explanatory variables.
Regression is a method of determining statistical relationships between a dependent variable and one or more independent variables. Changes in the independent variables are related to changes in the independent variables. This can be broadly classified into two types. linear regression. logistic regression.
Regression analysis is used to predict a continuous dependent variable from a set of independent variables. If your dependent variable is dichotomous, you should use logistic regression.
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