Logistic regression is an alternative method to use other than the simpler linear regression. Linear regression tries to predict the data by finding a linear – straight line – equation to model or predict future data points. Logistic regression does not look at the relationship between the two variables as a straight line. Instead, Logistic regression uses the natural logarithm function to find the relationship between the variables and uses test data to find the coefficients. The function can then predict the future results using these coefficients in the logistic equation.