Regression statistics will typically include an R-squared value. The closer to 1 this is, the stronger the correlation between the returns of the two stocks. An R-squared figure of zero indicates ...

Regression is a vital tool for predicting outcomes in investing and other pursuits. Find out what it means when applied to machine learning. S&P 500 +---% | Stock Advisor +---% ...

Although R, and its predecessor S, have been around for decades, the use of R has increased dramatically over the past couple of years. R is an open source technology and has been adopted by Microsoft ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems. By James McCaffrey; 12/07/2016; Logistic ...

Specifically, I’ll be using simulation in R as an educational tool to help you better understand the ways in which regressions can break. Using simulations to unpack regression. The idea of using R ...

What resources are available to help me Bayesian methods in R? Before you show up: The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced ...

Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, Professional Master’s Degree in Applied Mathematics Prior knowledge needed: Basic calculus ...

Least squares regression is a method that aims to find the line or curve that minimizes the sum of the squared differences. These differences will be between the observed values and the values ...