11. Correlation

Given four scatterplots, each showing a different relationship between variables $X$ and $Y$, which scatterplot would indicate the strongest negative linear association between $X$ and $Y$?

Which of the following best describes how to distinguish between a strong linear association and a weak linear association when using the correlation coefficient?

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

Which value of the correlation coefficient $r$ indicates a stronger correlation than $+0.40$?

Which of the following scatterplots best represents a dataset with a correlation coefficient $r$ closest to $1$?

If the coefficient of determination is $R_2=0.60$, what is the absolute value of the correlation coefficient $\left|r\right|$?

Which of the following scatterplots would have a trend line with a negative slope?

Which term describes the degree of strength of the linear relationship between $x$ and $y$?

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

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

If you find a correlational relationship between two variables, which of the following statements is correct?

Which of the following is not an example of correlation analysis?

Height and weight are positively correlated. This means that:

Given the following correlation coefficients calculated from a dataset, which pair of variables has the strongest correlation? $X$ and $Y$: $-0.85$; $A$ and $B$: $0.60$; $M$ and $N$: $-0.45$; $P$ and $Q$: $0.75$

Which of the following is an advantage of the $r$ (correlation coefficient) over the $\mathrm{cov}$ (covariance) when measuring the relationship between two variables?