11. Correlation

Which of the following best describes what it means if there is a positive correlation $r>0$ between tests that measure different things?

A data set is found to have a linear correlation coefficient of $r=-0.92$. Which of the following graphs most likely represents the relationship between these variables?

Which of the following values could not represent a correlation coefficient?

Which of the following types of analysis reveals association but not necessarily causation between data attributes?

$\text{Which of the following pairs of variables most likely represents a causal relationship?}$

Which of the following best describes what it means for two variables to be positively associated in the context of the correlation coefficient?

Which of the following values of the correlation coefficient represents a weak positive correlation?

Which of the following statements about the correlation coefficient is true?

Which of the following best describes what it means for two variables to be positively associated?

Given the following pairs of data: $(1,1)$, $(-1,5)$, and $(10,?)$, which of the following values could represent the correlation coefficient between the $x$ and $y$ variables?

Which of the following is not a property of the linear correlation coefficient $r$?

In the context of the correlation coefficient $r$, which word best describes the degree of overlap between the two data sets?

Which of the following is not one of the three common errors involving $r$ (correlation)?

Given a scatterplot showing a strong negative linear relationship between two variables, which of the following is most likely the correlation coefficient for the data set?