Exploring and Predicting Using Linear Regression at Intersect Online

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Online Event

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Exploring and Predicting using Linear Regression in R

About this Event

Please register your interest by joining the waitlist using your University email*. Tickets will be allocated to registrants two weeks prior to the course.

* People who register without a University email will not be considered when allocating the tickets. Please make sure that you use a valid email address.

Brought to you by Intersect in partnership with QCIF and delivered by QCIF.

Why do this course?

This workshop is designed to increase participants' understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and includes practical sessions giving hands-on experience with regression analysis in R.

Who should take this course?

This course is suitable for all researchers and research students from any discipline. Prior experience with R and the RStudio interface is required, as the basics of R will not be covered. Please consider taking our R101: Programming with R training course to come up to speed beforehand.

You'll learn how to:

  • An introduction to continuous, discontinuous and categorical variables
  • Understanding the relationship between variables and plotting that relationship graphically
  • Calculating parametric and non-parametric correlation
  • Assumptions, errors, and what can go wrong in regression analysis
  • Understand the principles of linear regression methods
  • Identify the appropriate correlation or regression analysis for a dataset
  • Performing simple and multiple linear regression analysis using R
  • Interpret and report on the results of that analysis

    The Intersect approach to training

    At Intersect, we work closely with our member universities to develop and deliver training that targets the day-to-day software and technology problems that researchers face. We deliver hands-on courses in a relaxed setting with knowledgeable, helpful trainers who are themselves researchers and who know how researchers work. 

    For more information about this course and others, see our course catalogue, or visit Learn.intersect.org.au

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