222 Empirical Research in Software Engineering
6.2.1.1 Univariate Analysis
The univariate analysis is done to nd the individual effect of each independent variable
on the dependent variable. One of the purposes of univariate analysis is to screen out
the independent variables that are not signicantly related to the dependent variables.
For example, in regression analysis, only the independent variables that are signicant at
0.05signicance level may be considered in subsequent model prediction using multivari-
ate analysis. The primary goal is to preselect the independent variables for multivariate
analysis that seems to be useful predictors. The choice of methods in the univariate analy-
sis depends on the type of dependent variables being ...