The value of the correlation indicates the strength of the linear relationship. The value of the slope does not. The slope interpretation tells you the change in the response for a one-unit increase in the predictor.
Is R 2 the same as slope?
Correlation appears in several guises. ... Second, the slope of the regression line is proportional to the correlation coefficient: slope = r*(SD of y)/(SD of x) Third: the square of the correlation, called "R-squared", measures the "fit" of the regression line to the data.
How do you find a slope of a correlation?
Finding the slope of a regression line
where r is the correlation between X and Y, and sx and sy are the standard deviations of the x-values and the y-values, respectively. You simply divide sy by sx and multiply the result by r.
