The Logistic Regression Analysis is used to find out whether a statistically significant relationship exists between a dependent variable and one or more independent variables. In a Logistic Regression Analysis, the dependent variable should be binary (with values of 0 and 1) and the independent variables should be continuous or also binary. For each independent variable a coefficient will be estimated that reflects the relationship with the dependent variable. Each of these coefficients is separately tested to see if it is significantly different from zero. The analysis has not many assumptions, although no perfect multicollinearity and a large sample size are important.