This course shows you how to choose the right sort of regression for different data sets. You’ll determine under what conditions you should use a linear, a polynomial, or a multiple regression model and perform a linear, polynomial or multiple regression.
Regression analysis provides a quantitative relationship between two or more variables that can be used for making predictions. This course covers the basic elements of performing and interpreting regressions. You will learn how to choose the right sort of regression for different data sets, how to derive a regression from raw data, how to check if the regression accurately reflects the relationship in the data and how to make statistically relevant predictions from the regression.
Appropriate for both learners who have not previously studied the subject matter and learners seeking a refresher course.