Answer: A scatterplot with a correlation coefficient closest to r = –1 would have a strong negative linear relationship between the two variables. In other words, as one variable increases, the other variable decreases in a nearly straight line.
Visually, this would appear as a tightly clustered set of points that slope downwards from left to right, with little to no scatter or deviation from the line of best fit.
The scatterplot would show a clear and strong negative correlation, with most if not all of the points falling close to the line of best fit. The further the points are from the line, the weaker the correlation.
So, the scatterplot that has a correlation coefficient closest to r = –1 would be the one that shows a strong negative linear relationship between the two variables with little to no scatter or deviation from the line of best fit.
Step-by-step explanation: :)