If the point in the upper left corner of the scatterplot is removed, what will happen to the correlation (r) and the slope of the line of best fit (b)?

When considering how the removal of a point, particularly one located in the upper left corner of a scatterplot, affects the correlation coefficient (r) and the slope of the line of best fit (b), it's important to understand the influence of outliers or influential points on these statistics.

The point in the upper left corner is likely an outlier that could be exerting a negative influence on the overall correlation and slope. When this point is removed, it can lead to an increase in the correlation coefficient. This increase happens because the remaining data points may show a stronger positive relationship than when the outlier was included. As for the slope of the line of best fit, the removal of an outlier that negatively influences the slope can result in a steeper (and thus more positive) slope, reflecting a stronger trend in the remaining data.

This outcome results in an increase in both the correlation and the slope when the outlier is removed from the dataset, making the understanding of these relationships clearer. Thus, the correct answer reflects these changes in the correlation and slope after removing the outlier.