Understanding the concept of Correlation and Regression for Six Sigma, knowing how to perform Correlation and Regression, understanding the various types of Correlation and Regression and the differences between them has never been easier!

Have you ever wanted to perform association and causation analysis on your company's processes using Correlation and Regression?
Have you ever wanted to perform association and causation analysis on your customer's processes using Correlation and Regression?
Have you ever wanted perform predictions on your processes based on the most reliable statistical tools and models?

If the answer to any of these questions is yes, you need look no further.

Lean Six Sigma Master Black Belt Mentor and Coach, Sumeet Savant, with more than a decade of experience in executing, leading, and mentoring hundreds of Lean Six Sigma improvement projects brings to you a simple, straight forward, no nonsense book which will enable you understand the concept of Correlation and Regression to successfully utilize them to achieve the process improvements you have always dreamt of, quickly, effectively, and efficiently.

He shares his belief: "For your process improvements to be considered successful, you need statistically proven tools and models to ensure that you are addressing the right causes and are prioritizing your efforts on the most vital root causes and there is no other better means for achieving this other than the Correlation and Regression."

Do Act Now and have a LOOK INSIDE the short book to have a brief experience of the immensely valuable information it has in store for you.

With this book, you will get to,
- Know, understand, and appreciate what are Correlation, and Regression.
- Know and understand the different types of Correlation like the Positive, Negative, Perfectly Positive, Perfectly Negative, Zero, Simple, Partial, Multiple, Linear and Non Linear.
- Know and understand the Scatter Plot, and its interpretation.
- Know and understand the Correlation Coefficient and its interpretation.
- Know and understand the different types of Regression like Simple, Multiple, Linear, and Non Linear.
- Know and understand how to develop the Simple Linear Regression model.
- Know and understand how to develop the Multiple Linear Regression model.
- Know and understand how to develop the Multiple Linear Regression model using Matrices.
- Know and understand the different terms used to determine the effectiveness of the developed model like SSE, SST, RSME, RSE, and R2.
- Know and understand the other major regression models like the Polynomial, Logarithmic, Power, Exponential, and the Moving Average.
- Study more that ten case studies most relevant for the mentioned topics.
- And know all these and much more in the least number of words possible – to help you improve your processes and reduce process variations faster.

This may very well be the last book you will ever need to learn Correlation and Regression for Six Sigma and achieve overall improvements in your processes, services, and products.

We are sure about it! And, so will you be!