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) Violation of Linearity Condition and the fact that these variables are not quantitative
E) There is no unusual observation, but we have to deal with a bend in the data.

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) Violation of Linearity Condition and the fact that these variables are not quantitative 
E) There is no unusual observation, but we have to deal with a bend in the data.

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) Violation of Linearity Condition and the fact that these variables are not quantitative 
E) There is no unusual observation, but we have to deal with a bend in the data.

Based on the Scatterplot Shown Below, What Makes a Nonparametric