Masked Relationships and Multicollinearity

Mladen Jovanović May 4, 2016

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In this video and R workbook I am “playing” with linear regression and I am trying to explain the concept of “controlling” for one variable (this is common in statistics, but I had hard time understanding it until I visualized the problem), masked relationships and multicollinearity.

The R script can be downloaded HERE.

I also highly recommend reading Statistical Rethinking book. It is great introduction to scientific reasoning, model building and Bayesian inferences.

Please be free to let me know if you have any questions or feedback. Hope this video will be useful to the students out there.

Categories: Non-Membership Content

Tagged: R, Statistics

Mladen Jovanović

Mladen Jovanovic is a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which he considers his home town). He was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Email | LinkedIn | Twitter | Facebook

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In 2014 I wrote an article with the same title and it has recently (in 2016) got a really good reception by the readers and fellow sport scientist.

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I find the following courses a must watch for all rational humans, regardless if you are a sport scientist or not.

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To Turf or Not to Turf, That is the Question [Part 1]

In this video I am presenting my “solution” to the problem and provide fake data set, as well as R code for analyzing the data. Having decent predictive model can help us run different optimization algorithms to find the “best” scheduling to minimize/maximize injury risk or performance.

Mladen Jovanović July 5, 2017

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Masked Relationships and Multicollinearity

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