statsmodels.org
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Statsmodels.org is the online hub for the Statsmodels Python library, offering documentation, API references, tutorials, and examples for statistical modeling and regression analysis (OLS, GLM, mixed-effects) and related tests.
More resources on Regression Analysis
Statistics with Python
Coursera course: Statistics for Data Science with Python
ocw.mit.edu
MIT OpenCourseWare (OCW) is a free, open-access repository of MIT course materials, providing lecture notes, problem sets, exams, and video lectures from a wide range of courses. It includes statistics and data science content, allowing self-paced study of topics like regression analysis with accompanying materials.
Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.
Regression Modeling Strategies
Regression Modeling Strategies - A book resource
statisticshowto.com
Statistics How To is an accessible statistics tutorial site with step-by-step explanations, formulas, and examples for regression analysis (linear, logistic, and diagnostics). It also offers practical guides and calculators for applying regression concepts in tools like Excel, R, and SPSS.