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.

A regression shows the extent to which changes in a "dependent variable," which is put on the y-axis, can be attributed to changes in an "explanatory variable," which is placed on the x-axis.

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 ...

Roderick J. A. Little, Regression With Missing X's: A Review, Journal of the American Statistical Association, Vol. 87, No. 420 (Dec., 1992), pp. 1227-1237 ...