1. Change the slope and watch how the scatterplot changes. How does the slope affect
Pearson's r, the variance explained, the variance unexplained, and the standard error
of the estimate?
2. How would the correlation between height and weight be affected if you only considered
people over 6' tall?
3. If Y were perfectly predictable by X, what would the standard error of the estimate
be?
4. For what value of slope does the size of the standard error of the estimate not
affect r?
5. For a given standard deviation of X, what affect on the variance explained does
doubling the slope have?