Including Categorical Variables or Factors in Linear Regression with R, Part I: how to include a categorical variable in a regression model and interpret the model coefficient with example in R. Free Practice Dataset (LungCapData):([ Ссылка ]); 👍🏼Best Statistics & R Programming Language Tutorials: ( [ Ссылка ] )
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In this R video tutorial, we will learn to include a categorical variable (a factor or qualitative variable) in a regression model in R. We will also learn to interpret the model coefficients. We will work through an example to learn these concepts step by step.
These video tutorials are useful for anyone interested in learning data science and statistics with R programming language using RStudio..
► ► Watch More:
► Intro to Statistics Course: [ Ссылка ]
►Data Science with R [ Ссылка ]
►Getting Started with R (Series 1): [ Ссылка ]
►Graphs and Descriptive Statistics in R (Series 2): [ Ссылка ]
►Probability distributions in R (Series 3): [ Ссылка ]
►Bivariate analysis in R (Series 4): [ Ссылка ]
►Linear Regression in R (Series 5): [ Ссылка ]
►ANOVA Concept and with R [ Ссылка ]
►Hypothesis Testing: [ Ссылка ]
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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)
These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free.
Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
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