Linear Regression & Correlation: Brief Introduction For Beginners: Linear Regression And Correlation Examples

by Forrest Menches

This book is about an ordinary classical topic - linear regression, but what makes this book unordinary, is the author’s style of approaching the subject in a very detailed level. This approach is mostly rewarding for the beginners, which can see a full sequence of calculations, but it can be also useful for the experienced professionals which are using sophisticated software and are not exactly clear about the details.

What Is In This Book?
There are a number of examples shown in this book, they include
-How to do a correlation calculation
-An example of correlation on the stock price of 10 different big-name stocks, such as Coke and Pepsi
-How having uncorrelated investments can give you better returns at lower risk.
-How to do linear regression with two variables
-How to do multiple linear regression with any number of independent variables
-A regression analysis to predict the number of viewers in future episodes of the television show ‘Modern Family’
-How to evaluate the quality of your regression analysis using R-squared or adjusted R-squared
-How to do regression on exponential data, and recreate Moore’s law

198 pages, Paperback

Published February 21, 2021