Correlation is a statistical technique that is used to measure and describe the strength and direction of the relationship between two variables.
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Positive correlation = positive association Negative correlation = negative association
It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
No.
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.