Finding Coefficient of Determination

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The coefficient of determination, calculated as r², is 0.25 when the correlation coefficient is -0.5, regardless of the negative slope of the regression line. This value indicates the strength of the correlation but does not reflect the direction of the relationship. The square of the correlation coefficient is always positive, confirming that r² cannot be negative. Therefore, the correct interpretation is that the coefficient of determination is 0.25, highlighting the correlation's existence without indicating its direction. The discussion clarifies a common misconception regarding the relationship between slope and the coefficient of determination.
Tchao
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Homework Statement



If the slope of the regression line is negative and the correlation coefficient is -0.5, coefficient of determination is:

Homework Equations



coefficient of determination: r2 = 1 - SSE/SST

correlation coefficient: r = Sxy / (√Sxx * √Syy )

The Attempt at a Solution


r = -0.5
r2 = 0.25 but because slope of regression line is negative, then coefficient of determination would be also negative.
r2 = -0.25

I am not sure if my though process in determining the correct answer is right or not.
 

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Tchao said:

Homework Statement



If the slope of the regression line is negative and the correlation coefficient is -0.5, coefficient of determination is:

Homework Equations



coefficient of determination: r2 = 1 - SSE/SST

correlation coefficient: r = Sxy / (√Sxx * √Syy )

The Attempt at a Solution


r = -0.5
r2 = 0.25 but because slope of regression line is negative, then coefficient of determination would be also negative.
r2 = -0.25

I am not sure if my though process in determining the correct answer is right or not.

Hi Tchao,

Indeed, the coefficient of determination is ##r^2=0.25##.
And it is positive, since a square is always positive.
It means that the coefficient of determination doesn't tell us whether the slope is upward or downward, only that there is a correlation.
 
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