a. There is a positive correlation between x and y. b. There is a negative corre

Question

a. There is a positive correlation between x and y. b. There is a negative correlation between x and y. c. The correlation coefficient, r, is very close to 0. d. The correlation coefficient, r, has magnitude close to 1/2. e. The correlation coefficient, r, has magnitude close to 1. f. The correlation coefficient, r, is negative. g. The linear relationship between the predictor and response variable is very strong. h. There is no linear correlation. i. When x increases, y increases. j. Which of the following graphs are appropriate to use a linear correlation:

Explanation / Answer

The correlation coefficient, r, has magnitude close to 1. means that the relation between X and Y is linear , and we can buils linear model to it.

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