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Data Analysis with R

You're reading from  Data Analysis with R

Product type Book
Published in Dec 2015
Publisher
ISBN-13 9781785288142
Pages 388 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Data Analysis with R
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. RefresheR 2. The Shape of Data 3. Describing Relationships 4. Probability 5. Using Data to Reason About the World 6. Testing Hypotheses 7. Bayesian Methods 8. Predicting Continuous Variables 9. Predicting Categorical Variables 10. Sources of Data 11. Dealing with Messy Data 12. Dealing with Large Data 13. Reproducibility and Best Practices Index

The relationship between two continuous variables


Do you think that there is a relationship between women's heights and their weights? If you said yes, congratulations, you're right!

We can verify this assertion by using the data in R's built-in dataset, women, which holds the height and weight of 15 American women from ages 30 to 39.

  > head(women)
    height weight
  1     58    115
  2     59    117
  3     60    120
  4     61    123
  5     62    126
  6     63    129
  > nrow(women)
  [1] 15

Specifically, this relationship is referred to as a positive relationship, because as one of the variable increases, we expect an increase in the other variable.

The most typical visual representation of the relationship between two continuous variables is a scatterplot.

A scatterplot is displayed as a group of points whose position along the x-axis is established by one variable, and the position along the y-axis is established by the other. When there is a positive relationship, the dots, for...

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