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 ...

R 2 is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the coefficient of determination. In general, the higher the R 2 , the better ...

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 ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.

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