8. A biology student recorded the rate of chirping for a striped cricket at different ground temperatures. Below are the data. Round the slope and intercept to 3 decimal places. Temperature (F) 88.6 71.6 93.3 84.3 80.6 75.2 69.7 71.6 69.4 83.3 79.6 82.6 80.6 83.5 76.3 # chirps/second 20.0 16.0 19.8 18.4 17.1 15.5 14.7 15.7 15.4 16.3 15.0 17.2 16.0 17.0 14.4 (a) Sketch a scatterplot of the data. Describe the association. (b) Compute the correlation coefficient. What does this tell us about the linear relationship? (c) Give the equation for the least-squares regression line. Round the slope and intercept to 3 decimal places. (d) Interpret the slope of the line. (e) What is the predicted chirp rate if the ground temperature is 87 F? (f) Suppose the temperature is 91.4'F and the residual chirp rate is -1.21 chirps per second. What is the actual chirp rate? Interpret this result. (g) What percent of the variation in chirp rates can be explained by differences in ground temperatures? (h) The student tells a classmate, "I can create any chirp rate I want simply by setting the temperature in the tank appropriately." What is technically wrong with his statement? 9. Suppose the correlation coefficient for data set A is -0.859, and the correlation coefficient for data set B is 0.768. Based solely on these measures, which data set exhibits a stronger liner relationship? Explain