In:How to do Linguistics with R: Data exploration and statistical analysis
Natalia Levshina
[Not in series 195] 2015
► pp. 115–138
Chapter 6Relationships between two quantitative variables
correlation analysis with elements of linear regression modelling
Published online: 25 November 2015
https://doi.org/10.1075/z.195.c6
https://doi.org/10.1075/z.195.c6
Article outline
- 6.1What is correlation?
- 6.2Word length and word recognition: The Pearson product-moment correlation coefficient
- 6.2.1The data and hypothesis
- 6.2.2Descriptive statistics and visualizations
- 6.2.3Testing the significance of the correlation coefficient
- 6.3Emergence of grammar from lexicon: Spearman’s ρ and Kendall’s τ
- 6.3.1The data and hypothesis
- 6.3.2Exploring the data and computing correlation coefficients
- 6.4Visualization of correlations between more than two variables with the help of correlograms
- 6.5Summary
Notes
