I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

How Homoskedasticity Works Homoskedasticity is one assumption of linear regression modeling, and data of this type work well with the least squares method.

One of the simplest prediction methods is linear regression, in which we attempt to find a 'best line' through the data points.

This article compares the two approaches (linear model on the one hand and two versions of random forests on the other hand) and finds both striking similarities and differences, some of which can be ...

A nonparametric test for hypotheses concerning linear regression parameters is based on the signs of the residuals and their Kendall correlation with the independent variable. The small-sample ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.