If the coefficient of correlation is -0.60, then the coefficient of determination is: A. -0.60 B. 0.40 C. -0.36 D. 0.36 If the coefficient of correlation is -0.80, the percentage of the variation in y that is explained by the variation in x is: A. 80% B. -80% C. 64% D. -64%

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If the coefficient of correlation is -0.60, then the coefficient of determination is:
A. -0.60
B. 0.40
C. -0.36
D. 0.36

If the coefficient of correlation is -0.80, the percentage of the variation in y that is explained by the variation in x is:
A. 80%
B. -80%
C. 64%
D. -64%

If all the points in a scatter diagram lie on the least squares regression line, then the coefficient of correlation must be:
A. 1
B. -1
C. either 1 or -1
D. 0

If the coefficient of correlation between x and y is close to 1, this indicates that:
A. x causes y to happen
B. there may or may not be any causal relationship between x and y
C. y causes x to happen
D. both A and B are correct answers

A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: ?̂=120+5?y^=120+5x. This implies that if the height is increased by 1 inch, the weight is expected to:
A. decrease by 1 pound
B. increase by 1 pound
C. increase by 5 pounds
D. increase by 24 pounds

 

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