1. Determine the sum of all the "x" variables. Sum(X)x1 + x2 + x3. 2. Determine the sum of the square of each "x" variable. Sum(X^2) x1^2 + x2^2 +x3^2. 3. Repeat
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1. Calculate the. standard deviation. of both x and y. Ad. 2. Calculate the. covariance. 3. Substitute these three values into the formula to calculate the coefficient of correlation
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Correlation coefficient. My understanding is: two variables as they relate to one another and how accurately you can predict their behavior to one another when together. Basically
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( ′päp·yə′lā·shən ′kär·ə′lā·shən ′kō·ə′fish·ənt
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