What does the correlation coefficient of -0.962 from a regression line mean?



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pramodpandey's profile pic

Posted on (Answer #1)

The regression line

y = a + bx

slope b of the regression line is =`-0.962`

The correlation coefficient=r((S_y)/(S_x))=-.962

When the slope of the regression line is negative (meaning that the value of b is negative) the value of y decreases as x increases.  The strength of these relationships is given by the correlation coefficient (r) which can be calculated.For paired data (x,y) we denote the standard deviation  of the x data by sx and the standard deviation of the y data by sy. The formula for the

slope b of the regression line is -0.962 =`r((S_y)/(S_y))`  .


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