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Introduction to Regressions Analysis Using ‘R’ Software

Overview

Regression is a very powerful method of quantitative analysis that allows us to investigate the relationship between an outcome of interest and a number of explanatory variables. From this we can make inferences while accounting for confounding factors and use this to make predictions. This course will introduce the theory behind linear regression analysis and show how R can be used to fit and interpret regression models. Please note that this course is only recommended for those that have learned the basics of R elsewhere. The course assumes a basic knowledge of R programming and statistics (e.g. confidence intervals and p-values). Please get in touch if you’d like information on our ‘Intro to R’ online or face-to-face course.

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