A student inputs data for hours of sleep ($x$) into L2 and test scores ($y$) into L1 on a calculator. How does this error affect the linear regression analysis?

The correlation coefficient $r$ will be incorrect.

The resulting regression equation will be incorrect.

The calculator will not be able to compute a result.

The correlation will appear weaker than it is.

A student claims that a correlation of $r = -0.95$ is weaker than a correlation of $r = 0.90$. Is this claim correct?

Yes, because negative values are always weaker.

No, because $-0.95$ is closer to $-1$.

Yes, because $0.90$ is a positive value.

No, because the relationship is almost perfect.