Card 2 / 7: What is the distinction between Pearson correlation and Spearman correlation?
A)
Pearson correlation is used for continuous variables, whereas Spearman correlation is for dichotomous or binary variables.
B)
Pearson correlation can range between ?-1 and 1, whereas Spearman correlation can range between 0 and positive infinity.
C)
Pearson correlation measures the linear association between two variables, whereas Spearman correlation measures the quadratic association between two variables.
D)
Pearson correlation is used for normally distributed variables, whereas Spearman correlation is based on the ranks of two variables.
E)
Pearson correlation is used for discrete variables, whereas Spearman correlation is used for binary variables.
Answer:
D) Pearson correlation is used for normally distributed variables, whereas Spearman correlation is based on the ranks of two variables.
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Epidemiology Correlation & Regression
Author:
Dr.Janet ForresterProfessor
Tufts University School of Medicine
USA
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