Interpreting Interaction in Linear Regression with R | R Tutorial 5.10 | MarinStatsLectures

Interpreting Interaction in Linear Regression with R | R Tutorial 5.10 | MarinStatsLectures

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Interpreting Interaction in Linear Regression with R | R Tutorial 5.10 | MarinStatsLectures
Interpreting Interaction in Linear Regression with R: How to interpret interaction or effect modification in a linear regression model, between two factors with example. How to fit an interaction term in a linear regression model in R Video (https://youtu.be/8YuuIsoYqsg); 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT ) ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Like or Write us a Review! Either way We Thank You! In this R video tutorial, we will learn to interpret interaction or effect modification in a linear regression model, between two factors or two categorical variables. This video does not discuss fitting the model using R, but only discusses how interacting variables are interpreted in a regression model. The previous video (Tutorial 5.9) in the series describes how to fit an interaction term in a linear regression model in R (https://youtu.be/8YuuIsoYqsg) Table of Content: 0:00:16 An introduction to our data that includes one dependent variable and 2 explanatory or independent variables 0:00:43 the visual representation of the data by using a plot 0:01:22 explaining the concept of interaction on the plot with an example 0:02:05 different ways of stating interaction in the data 0:02:25 examining interaction numerically by examining the fitted regression model 0:05:29 examining a model with no interaction 0:06:03 terms for including an interaction term in our model ► ► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►Data Science with R https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Hypothesis Testing: https://bit.ly/2Ff3J9e ►Linear Regression Concept and with R Lectures https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn 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!