In linear regression, when there's just a single independent variable, the analysis is sometimes called simple linear regression to distinguish the analysis from situations where there are two or more ...

for each data point - Simple linear regression model – worked example. Let’s say we are interested in examining the relationship between blood pressure (BP) and age (in years) in a hospital ward. We ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

It is also used to adjust for confounding. In this course, we cover how to implement linear regression and adjust for confounding in practice using R. In data science applications, it is very common ...

Modeling linear regression in Excel is easier with the Data Analysis ToolPak. Regression output can be interpreted for both the size and strength of a correlation among one or more variables on ...

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

Abstract: The linear regression model is simple in form and easy to estimate; nevertheless, irrelevant features will raise the difficulty of its tasks. Feature selection is generally adopted to ...