11. Correlation

If the coefficient of determination $r^2$ is high, can we conclude that there is a causal relationship between the two variables? Choose the best answer.

Suppose you are shown four scatterplots, each with a calculated correlation coefficient. Which of the following correlation coefficients indicates the strongest linear relationship between the two variables?

A negative correlation means $\dots$.

Which of the following is a property of the linear correlation coefficient $r$?

A correlation coefficient is a statistic that tells the

What are some advantages of the Spearman rank correlation coefficient over the Pearson correlation coefficient?

What is the primary goal of the correlation coefficient in statistics?

Which of the following are properties of the linear correlation coefficient $r$?

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

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?