Linear regression considers the relationship between an outcome (dependent or response) variable and one or more explanatory (independent or predictor) variables, where the variables under ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. David is comprehensively experienced in many facets of ...

Of course, this is just a simple regression and there are models that you can build that use several independent variables called multiple linear regressions. But multiple linear regressions are ...

To perform a simple linear regression to estimate the restaurant’s fixed and variable costs, perform the following steps. Step 3: In the Regression dialog box that pops up, you must identify your Y ...

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 ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical ...

Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable. The two main categories of forecasting take very different approaches.

With this setup, I now have an equation to predict my target variable. Before building my model, I want to step back to offer an easy-to-understand definition of linear regression and why it’s ...

You can use linear regression to predict the value of a single numeric variable (called the dependent variable) based on one or more variables that can be either numeric or categorical (called the ...