Bivariate Statistical Measures

Bivariate Statistical Measures

1. allows you to analyze sets of characteristics of individuals in a population to determine the relationship that exists between them

   • Correlation coefficient Term used in regression analysis to designate the strength of the linear relationship between the variables of judgmental and predictive.
   • Coefficient of determination Term used in regression analysis to denote the relative proportion of the total variation in the variable of criterion that can be explained by the fitted regression equation.

2. Correlation analysis: Statistical technique used to measure the closeness of the relationship linear between two or more variables in a interval scale

   • positive correlation is when the two variables are relate in sense direct(linear)
   • Negative Correlation two variables are relate in sense reverse

3. Regression analysis Statistical technique used to derive an equation relating a criterion variable with one or more criteria variables prediction; when using only one variable prediction, is the simple regression analysis, and if two or more are used, it is the regression analysis multiple.

4. Scatter diagram: uses the coordinates Cartesian to display the values of two variables for a data set