Unless that regression line happens to be exactly 45 or centered, "r" does not measure agreement.

The slope of the regression line in such a case will be negative.

"But there's lots of disagreement or discussion on where the regression line will hit zero," she said.

Lack of fit to the regression line suggests a departure from normality.

The final panel shows the transformed data with a superimposed regression line.

This shows the role plays in the regression line of standardized data points.

An R of 1 indicates that the regression line perfectly fits the data.

Error will not be evenly distributed across the regression line.

T is the temperature at the intersection of the red regression lines.

The slopes of the different regression lines should be equal.