Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. This is the fourth course in the specialization, “Business Statistics and Analysis”. The course introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.
The focus of the course is on understanding and application, rather than detailed mathematical derivations.
Note: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac.
Course 4 of 5 in the Business Statistics and Analysis Specialization.
Regression Analysis: An Introduction
Graded: Regression Analysis: An Introduction
Regression Analysis: Hypothesis Testing and Goodness of Fit
Graded: Regression Analysis: Hypothesis Testing and Goodness of Fit
Regression Analysis: Dummy Variables, Multicollinearity
Graded: Regression Analysis: Model Application and Multicollinearity
Regression Analysis: Various Extensions
Graded: Regression Analysis: Various Extensions
ENROLL IN COURSE