Estimating pearson correlation coefficient


1. Assume the correlation between height and weight for the adults is +0.70. What percent of variability in weight is predicted by relationship with height?

A. 70%

B. 30%

C. 35%

D. 49%

2. If the value of correlation is r = -1.00, then all of the data points on the scatter plot would fall on the straight line.

3. The correlation rule describes that if X and Y are correlated, X has caused Y.

4. A linear regression

A. is line that best fits on scatter plot.

B. is an equation employed to predict a y score from an x.

C. can't be used if r = 0.

D. all of above.

5. What is the correlation?

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Basic Statistics: Estimating pearson correlation coefficient
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