11. Correlation

Which of the following can be used to show a cause-and-effect relationship between two variables?

Which of the following tables shows a negative correlation between variables $X$ and $Y$?

Which of the following best describes all possible values that the correlation coefficient $r$ can take?

Which of the following is a characteristic of the correlation coefficient?

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?

Which of the following tables shows no correlation between variables $X$ and $Y$?

Given a dataset where as one variable increases, the other variable tends to decrease moderately, which of the following values is the most likely correlation coefficient for this data?

Which value of the correlation coefficient $r$ indicates a stronger linear relationship: $r=0.85$ or $r=-0.65$?

What is the most likely value of the correlation coefficient between a stock-index mutual fund and the $S\&P500$ index?

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?