The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

There are 200 training items and 40 test items. The demo creates and trains a linear regression with two-way interactions model, evaluates the model accuracy on the training and test data, and then ...

For example, you might want to predict an employee's salary based on age, height, years of experience, and so on. There are approximately a dozen common regression techniques. The most basic technique ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

In the worked example we already considered above, if we run the multiple linear regression, we would generate a 95% confidence interval (CI) around the regression coefficient for age, which is a ...

R 2 (R-squared) 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.

Research on multiple comparison during the past 50 years or so has focused mainly on the comparison of several population means. Several years ago, Spurrier considered the multiple comparison of ...

In simple linear regression, the square of the correlation coefficient, r2, can be used to measure the 'goodness-of-fit' of the model. r2 represents the proportion of the variability of y that can ...