Multiple Linear Regression Part I Video Tutorial;
Linear Regression Concept and with R https://bit.ly/2z8fXg1
More Statistics and R Programming Tutorials: (https://bit.ly/2Fhu9XU)
This statistics tutorial covers multiple linear regression and reviews the different goals/purposes for fitting a regression model, with a focus on estimating an effect size. The tutorial covers the idea of an unadjusted effect versus an effect that has been adjusted for confounding, In this lecture, you will also learn about comparing competing models.
►► Watch More:
► Intro to Statistics Course: https://bit.ly/2SQOxDH
►R Tutorials for Data Science 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
►Puppet Master of Statistics: https://bit.ly/2RDAAv4
►SPPH 400 Tutorials: https://bit.ly/2Ff3gE0
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This statistics tutorial is prepared to support SPPH 500: Analytic Methods in Applied Epidemiology course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at 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!