In this course, I will teach you one of the most commonly used analytical techniques: Regression Analysis.

This course covers the top of multiple regression analysis at the Six Sigma Master Black Belt level.

I will use Minitab 19 to perform the analysis. The focus of my teaching will be on explaining the concepts and on analyzing and interpreting the results of the analysis.

The course starts from the basics, covering the scatter plot and learning the simple regression with just one predictor. The analysis is conducted in Minitab 19, and the results of the output are explained in detail. To understand the concept, a simple example of hours of studies and marks obtained in the exam is taken. As you move through the course the example becomes more complex. In the end, we analyzed and modelled the insurance cost based on various factors.

This course also covers hypothesis testing, understanding the p-value to interpret the result.

Later, additional predictors are added to the regression model. The performance of the model is understood by interpreting the value of R-squared and adjusted R-squared.

The following concepts are covered in this course:

• Simple Linear Regression

• Multiple Regression

• Nonlinear Regression (Polynomial)

• Bias Variance Trade-off

• Selecting features using Best Subsets and Stepwise selection approaches

• Identifying Outliers

• Training and Test Data - Validation set approach, Leave one out cross-validation and K-Fold Validation.

• Predicting Response

• Project Work - Medical Insurance Charges