Linear Regression using Python

Published: 25 March 2022
on channel: Dr Juan Klopper

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This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at • Linear regression ANOVA ANCOVA Logist...

This video is on linear regression using Python and the statsmodels package. In it, I demonstrate how to create data, and how to summarize and visualize the data for a simulated research project. I state the research question and the null hypothesis and alternative hypothesis.

There is a thorough explanation of a linear model in one variable in order to build intuition about the results of linear regression. I explain what all the important results are and show how they are calculated. These include the parameters estimates (coefficients), the standard error, test statistics, p value, and the confidence intervals.

I also explain the errors in the model such the sum of squared errors due to the regression and the residuals, the degrees of freedom in the model, the F statistic and its p value, as well as the coefficient of determination.

On this page of the site you can watch the video online Linear Regression using Python with a duration of hours minute second in good quality, which was uploaded by the user Dr Juan Klopper 25 March 2022, share the link with friends and acquaintances, this video has already been watched 634 times on youtube and it was liked by 22 viewers. Enjoy your viewing!

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