1. Suppose researchers collect average pollution levels and average life expectancy from a sample of North American cities. The data is presented as a bivariate data set where average pollution is the explanatory variable (the x-variable) and life expectancy is the predicted variable (the y-variable). The data set has a linear relationship and a correlation coefficient of r = 0.82. Which of the following statements is a correct interpretation of this correlation? Explain your choice. (Only one of these statements is correct.) An increase in average pollution will cause a decrease in life expectancy. If a city has an above average pollution level, we would expect it to have a below average life expectancy. An increase in pollution level will cause an increase in life expectancy. If a city has an above average pollution level, we would expect it to have an above average life expectancy.