The FloridaLakes dataset, introduced in Data 2.4, includes data on 53 lakes in Florida. Two of the
Question:
(a) Use the fitted model to predict the average mercury level in fish for a lake with a pH of 6.0.
(b) What is the slope in the model? Interpret the slope in context.
(c) What is the test statistic for a test of the slope? What is the p-value? What is the conclusion of the test, in context?
(d) Compute and interpret a 95% confidence interval for the slope.
(e) What is R2? Interpret it in context.
Data 2.4
The FloridaLakes dataset describes characteristics of water samples taken at n = 53 Florida lakes. Alkalinity (concentration of calcium carbonate in mg/L) and acidity (pH) are given for each lake. In addition, the average mercury level is recorded for a sample of fish (large mouth bass) from each lake. A standardized mercury level is obtained by adjusting the mercury averages to account for the age of the fish in each sample. Notice that the cases are the 53 lakes and that all four variables are quantitative.
Step by Step Answer:
Statistics Unlocking The Power Of Data
ISBN: 9780470601877
1st Edition
Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock