 Hi, this is Dr. Don. This is a problem from Chapter 9 in which we're given raw data on two variables. And we're asked to, first of all, run a regression to find the equation of the slope of the line with Row 1 as the predictor and Row 2 as the response. And then do that again, reversing with Row 2 as the predictor and Row 1 as the response. To come up with a conclusion about what we see. We can do this very easily using StatCrunch. I'm going to click on the little rectangle there and open this data in StatCrunch. It comes up. And all we need to do is go to Stat, Regression, Simple Linear. First of all, I'm going to select Row 1 as the predictor, Row 2 as the response. I'm going to leave all this normal, but I want to select the fitted line plot and click Compute. And we get some results here. We have the R and R square. We have our slope and our intercept for this first condition and we have a plot that we can use to select what's going on. To do the second part, I'm just going to repeat those steps, Stat, Regression, Simple Linear. This time I'm going to select Row 2 as the predictor and Row 1 as the response. Again get my fitted line plot and click Compute. And so now we have the second answers there. Again, same R square, which we would expect because we're doing a correlation. Then we have the intercept and slope. You can notice that the values for the intercept and slope change, but that the sign of the slope, the M, does not change. And again we've got the plot for the second condition. So with that, you can answer the question. Hope this helps.