http://www.bing.com:80/search?q=Statsmodels+Linear+Regression+ExampleSearch resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Statsmodels+Linear+Regression+ExampleCopyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://www.statsmodels.org/stable/index.htmlstatsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator.Sun, 12 Apr 2026 15:14:00 GMThttps://www.statsmodels.org/stable/api.htmlAPI Reference The main statsmodels API is split into models: statsmodels.api: Cross-sectional models and methods. Canonically imported using import statsmodels.api as sm. statsmodels.tsa.api: Time-series models and methods. Canonically imported using import statsmodels.tsa.api as tsa. statsmodels.formula.api: A convenience interface for specifying models using formula strings and DataFrames ...Sun, 12 Apr 2026 22:23:00 GMThttps://www.statsmodels.org/stable/user-guide.htmlMethods for Survival and Duration Analysis Nonparametric Methods nonparametric Generalized Method of Moments gmm Other Models miscmodels Multivariate Statistics ...Fri, 10 Apr 2026 08:06:00 GMThttps://www.statsmodels.org/stable/examples/index.htmlExamples This page provides a series of examples, tutorials and recipes to help you get started with statsmodels. Each of the examples shown here is made available as an IPython Notebook and as a plain python script on the statsmodels github repository.Sun, 12 Apr 2026 20:00:00 GMThttps://www.statsmodels.org/stable/gettingstarted.htmlGetting started This very simple case-study is designed to get you up-and-running quickly with statsmodels. Starting from raw data, we will show the steps needed to estimate a statistical model and to draw a diagnostic plot. We will only use functions provided by statsmodels or its pandas and patsy dependencies. Loading modules and functions After installing statsmodels and its dependencies ...Mon, 13 Apr 2026 03:31:00 GMThttps://www.statsmodels.org/stable/install.htmlInstalling statsmodels The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users. Instructions for installing from PyPI, source or a development version are also provided. Python Support statsmodels supports Python 3.8, 3.9 ...Sun, 12 Apr 2026 17:08:00 GMThttps://www.statsmodels.org/stable/regression.htmlLinear Regression Linear models with independently and identically distributed errors, and for errors with heteroscedasticity or autocorrelation. This module allows estimation by ordinary least squares (OLS), weighted least squares (WLS), generalized least squares (GLS), and feasible generalized least squares with autocorrelated AR (p) errors. See Module Reference for commands and arguments ...Mon, 13 Apr 2026 02:12:00 GMThttps://www.statsmodels.org/stable/about.htmlAbout statsmodels Background The models module of scipy.stats was originally written by Jonathan Taylor. For some time it was part of scipy but was later removed. During the Google Summer of Code 2009, statsmodels was corrected, tested, improved and released as a new package. Since then, the statsmodels development team has continued to add new models, plotting tools, and statistical methods ...Fri, 10 Apr 2026 07:16:00 GMThttps://www.statsmodels.org/stable/glm.htmlGeneralized linear models currently supports estimation using the one-parameter exponential families.Mon, 13 Apr 2026 13:32:00 GMThttps://www.statsmodels.org/devel/statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator.Wed, 08 Apr 2026 19:57:00 GMT