What is the aim of doing logistic regression analysis in research.?
Logistic regression obtains a percent probability of a certain result given a variable parameter. For example, you have a large set of data regarding the height of corn stalks and the amount of rainfall each particular stalk received. You may wish to do a logistic regression comparing the height of the stalk with the rainfall received. First, you’d have to convert your height data into true-false data, i.e. two groups of stalks. For this example, let’s say you group the stalks into those > 5ft (1) and those < 5ft (0). You would then plot the 0's and 1's verses rainfail and use logistic regression. This yields the percent probability a stalk would be greater than 5ft given a certain amount of rainfall.