Which of the following is NOT true about a regression line?

The "line of best fit" which minimizes that distance between the line and each of the points of the predicted variable on a scatterplot

The line allows us to predict one score given the value of the independent variable.

The distance between each individual point and the regression line, called the error in prediction/error in estimate.

The line allows us to see how far off each of the data points are from a perfect correlation. If the correlation were perfect, all the data points would be lined up along a 90 degree angle.