If you are a Six Sigma Black Belt Aspirant or simply a Six Sigma Aspirant, you will find this course of real help. Here’s why: Regression Analysis is a topic of importance in ASQ and IASSC Certification Tests. With this course, you will be able to answer quite a few questions and easily add few marks. That’s guaranteed!
If you a machine learning enthusiast, then you already know that one of the foundation pillars of Machine Learning & Predictive Modeling is Statistical Modeling (& Regression Analysis). If you don’t have a formal education in statistics or modeling, but have a strong programming background, this course will serve as a primer, explaining the concepts, (without coding). Of course, in Machine Learning there are other models & algorithms that is not in the scope of this course.
30 Days
This lecture will give you a foundation for establishing relationship between dependent and independent variables and validate this graphically.
This lecture gives you a quick practical context to the application of scatter diagram.
This lecture introduces you to the concept of correlation coefficient. For some of you, this will be a refresher before we deep dive into regression analysis.
This lecture introduces you to regression, in its simplest form. Again, this is a good refresher.
How to construct a line of best fit for simple linear regression? Difficulty Level : High
How to construct a line of best fit for simple linear regression? Difficulty Level : High
What are fits, residuals & how it relates to Least Squares Method? Difficulty Level : High
What is partial correlation and how to compute it? Difficulty Level : High
What is R-sq & Adj R-sq? How is it computed? What is its significance? Difficulty Level : High
Learn about Confidence Band & Prediction Band. Difficulty Level : High
How to construct a Multiple Linear Regression? Difficulty Level : High
What is Multi-Collinearity & how to detect it? Difficulty Level : High
What is Best Subset Method and how to use it?
Difficulty Level : High
What is Logistic Regression? How to perform Binary Logistic Regression? Difficulty Level : High
Learn to perform logistic regression. Difficulty Level : High
Learn to build simple prediction models. Difficulty Level : High
Conclusion and next steps…
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