Pearson correlation coefficient

Terms from Statistics for HCI: Making Sense of Quantitative Data

This measures the level of linear relationship between two variables. It lies in the range [-1,+1] where +1 denotes a perfect positive relationship and -1 a perfect negative relationship. It is calculated by working out the covariance (average product) of the two variables and dividing by the product of their individual standard deviation: ( cov(x,y) / ( σx × σy).

Used in Chap. 13: page 150

Also used in hcistats2e: Chap. 4: page 59; Chap. 10: page 115; Chap. 14: pages 166, 167

Also known as: correlation coefficient

Used in glossary entries: covariance, standard deviation (s.d., σ)