The company’s Designer platform provides a linear regression tool to create simple models for estimating values or evaluating relationships between variables based on their linear correlations.

Image Credit: Nhemz/Shutterstock ... As well as this, they have identified the most effective features for examining COVID-19 data with linear regression models, ...

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.

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

This auxiliary information is extraneous to the regression model of interest but predictive of the covariate with missing data. Ibrahim (1990, Journal of the American Statistical Association 85, ...

Ram C. Tiwari, Kathleen A. Cronin, William Davis, Eric J. Feuer, Binbing Yu, Siddhartha Chib, Bayesian Model Selection for Join Point Regression with Application to Age-Adjusted Cancer Rates, Journal ...