Linear Regression And Correlation: A Beginner's Guide (EPUB)

Linear Regression is a way of simplifying a group of data into a single equation. For instance, we all know Moore’s law: that the number of transistors on a computer chip doubles every two years. This law was derived by using regression analysis to simplify the progress of dozens of computer manufacturers over the course of decades into a single equation. Correlation is a way of calculating how much two sets of numbers change together. In addition to being part of the regression analysis, correlation is heavily used in investment industries, for instance, to determine if two stocks are likely to change value together or independently.