QUESTION 4 Assume you performed a correlation analysis on lung function (y variable) and air pollution exposure (x variable) and obtained an r value of 0.50. Calculate and interpret the coefcient of determination. ' 70.7% of the variability in lung function can be explained by air pollution exposure. 25% of the variability in lung function can be explained by air pollution exposure. There is a moderate positive correlation between lung function and air pollution exposure. ' 50% of the variability in lung function can be explained by air pollution exposure. ' There is a positive correlation between lung function and air pollution exposure. ' There is a moderate negative correlation between lung function and air pollution exposure. QUESTION 5 With which of the following situations would you use Spearman Rank Correlation? When both variables are not normally distributed When both variables are normally distributed When you have outliers When one or both of your variables is ordinal