This video takes some data, and displays what it looks like in a scatterplot when there are 2 X variables: first, when both X's are numeric, and then when one X is numeric and one X is categorical. The goal is to help visualize what the data looks like, to get a better understanding of how we can extend simple linear regression to multiple linear regression, in order to include multiple variables in the model.
These videos support a course I teach at The University of British Columbia (SPPH 500), which covers the use of regression models in Health Research. These videos were put together to use for remote teaching in response to COVID.
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►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI
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►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm
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These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.
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On this page of the site you can watch the video online 2.5 Multiple Linear Regression in R: Two X Variables (Visualizing The Data in R) with a duration of hours minute second in good quality, which was uploaded by the user MarinStatsLectures-R Programming & Statistics 03 January 2021, share the link with friends and acquaintances, this video has already been watched 13,967 times on youtube and it was liked by 98 viewers. Enjoy your viewing!