Based on the scatterplot shown below, what makes a nonparametric method more appropriate than the Pearson correlation for measuring the association between the two variables?
A) Nonlinearity
B) These variables are not quantitative.
C) The presence of an outlier
D) Nonlinearity and the fact that these variables are not quantitative
E) Nonlinearity, the fact that these variables are not quantitative as well as the presence of an outlier

Question

Based on the scatterplot shown below, what makes a nonparametric method more appropriate than the Pearson correlation for measuring the association between the two variables? 
A) Nonlinearity 
B) These variables are not quantitative. 
C) The presence of an outlier 
D) Nonlinearity and the fact that these variables are not quantitative 
E) Nonlinearity, the fact that these variables are not quantitative as well as the presence of an outlier

Quizplus · Accepted Answer

The Answer of Based on the scatterplot shown below, what makes a nonparametric method more appropriate than the Pearson correlation for measuring the association between the two variables? 
A) Nonlinearity 
B) These variables are not quantitative. 
C) The presence of an outlier 
D) Nonlinearity and the fact that these variables are not quantitative 
E) Nonlinearity, the fact that these variables are not quantitative as well as the presence of an outlier

Based on the Scatterplot Shown Below, What Makes a Nonparametric