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Statistical Analysis with R Essentials For Dummies
book

Statistical Analysis with R Essentials For Dummies

by Joseph Schmuller
April 2024
Beginner content levelBeginner
192 pages
3h 18m
English
For Dummies
Content preview from Statistical Analysis with R Essentials For Dummies

Chapter 13

Correlation: The Rise and Fall of Relationships

IN THIS CHAPTER

Bullet Understanding what correlation is all about

Bullet Connecting correlation with regression

Bullet Analyzing correlation in R

In Chapter 12, I introduce regression, a tool for summarizing and testing relationships between (and among) variables. In this chapter, I introduce you to the ups and downs of correlation, a regression-related tool for looking at relationships.

I use the example of employee aptitude and performance from Chapter 12 and show how to think about the data in a slightly different way. I also show you how to test hypotheses about relationships and how to use R functions for correlation.

Understanding Correlation

Correlation is a statistical way of looking at a relationship. When two things are correlated, it means that they vary together. Positive correlation means that high scores on one are associated with high scores on the other, and that low scores on one are associated with low scores on the other as in the Aptitude-Performance example in Chapter 12.

Negative correlation, on the other hand, means that high scores on the first thing are associated with low scores on the second. Negative correlation ...

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Publisher Resources

ISBN: 9781394263424Purchase Link