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Correlation is a term frequently used in conjunction with regression analysis and is measured by the value of the coefficient of correlation, r. The best explanation of the value r is that it:
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C. Interprets variances in terms of the independent variable.
D. Ranges in size from negative infinity to positive infinity.
Answer: B
Explanation:
The coefficient of correlation (r) measures the strength of the linear relationship between the dependent and independent variables. The magnitude of r is independent of the scales of measurement of x and y. The coefficient has a range of-1 to +1. A value of zero indicates no linear relationship between the x and y variables. A value of+1 indicates a perfectly direct relationship, and a value of -1 indicates a perfectly inverse relationship.

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