Using pH in Lakes as a Predictor of Mercury in Fish The FloridaLakes dataset includes data on 53 lakes in Florida. Two of the variables recorded were pH (acidity of the lake water) and AvgMercury (average mercury level for a sample of fish from each lake). We wish to use the pH of the lake water (which is easy to measure) to predict average mercury levels in fish, which is harder to measure. A scatterplot of the data is shown below and we see that the conditions for fitting a linear model are reasonably met. Computer output for the regression analysis is shown below. The regression equation is .