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Explanation:
r = correlation coefficient
If r is close to -1, then the points are close to (or some fall on) the same straight line that has a negative slope. We consider this be a strong negative linear correlation.
If r is close to +1 or just 1, then the points are close to the same straight line that has a positive slope. These points would be considered to have strong positive linear correlation.
By "same straight line", I mean the regression line or line of best fit.
