11. Correlation

Why don’t we conduct inference on the linear correlation coefficient?

"In studies of monozygotic (identical) twins, the correlation between intelligence (IQ) scores is 0.85.

b. What are the variables being measured?"

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?

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

Given the following paired data: $(0,0)$, $(1,1)$, $(4,4)$, $(5,5)$, what is the value of the correlation coefficient between the two variables?

Which of the following scatterplots would have a correlation coefficient closest to $r=-1$?