A bivariate relationship has a correlation coefficient ( � ) (r) of 0.7. 0.7. Identify the % of variation in the response variable that can be explained by response in the explanatory variable:

A bivariate relationship has a correlation coefficient ( � ) (r) of 0.78. 0.78. Identify the coefficient of determination of this relationship:

If the correlation coefficient is .4, the percentage of variation in the dependent variable explained by the estimated regression equation is Group of answer choices.40%4%16%.16%

If the coefficient of correlation is 0.4, the coefficient of variation is ___.Group of answer choices16%0.40%4%any positive value

Recall from Week 2: Correlation Coefficient, r The Correlation coefficient, r, is a measure of the strength and direction of a linear relationship between 2 variables X and Y Ranges between –1 and 1 • The closer to –1, the stronger the negative linear relationship • The closer to 1, the stronger the positive linear relationship • The closer to 0, the weaker the linear relationship (Also called Standardised Covariance i.e. invariant to units of measure)

The coefficient of correlation r between two bivariate data is –0.80.  Which best describes the correlation?*There is no correlation because the computed r is negative.The correlation is very high but negative.The correlation is very low but negative.The strength of the correlation is negligible.None of the above