We expect that as the number of whisky drinks consumed increases the amount of time to tie your shoelaces increases. If we execute a regression to predict the average number of seconds to tie the shoelaces (the dependent variable, or Y) using the number of whiskey drinks consumed (the independent variable, or X) then what would be the appropriate Ho and Ha regarding B1. [I recommend that you make a sketch of the relationship to help your thinking.]

The standard deviation of Y is 100 The square root of the sum of the squared residuals divided by n-2 equals 10. Does this suggest that the regression fits the data well or that it does not fit the data well? Circle one. No explanation required.

(Please don't copy chegg, thank you)