K Lyme disease is an inflammatory disease that results in a skin rash and flulike symptoms. It is transmitted through the bite of an infected deer tick. The following data represent the number of reported cases of Lyme disease and the number of drowning deaths for a rural county. Complete parts (a) through (c) below. Click the icon to view the table of Lyme disease and drowning deaths. Click the icon to view the critical values table. (a) Draw a scatter diagram of the data. Choose the correct graph below. OA. B. O C. O D. A Drownings Drownings A Lyme Disease A Drownings 20- 20- 20 20- 0- 30 30 0 30 0 30 Lyme Disease Lyme Disease Drownings Lyme Disease (b) Determine the linear correlation coefficient between Lyme disease and drowning deaths. The linear correlation coefficient between Lyme disease and drowning deaths is r = (Round to three decimal places as needed.)Lyme disease is an inflammatory disease that results in a skin rash and flulike symptoms. It is transmitted through the bite of an infected deer tick. The following data represent the number of reported cases of Lyme disease and the number of drowning deaths for a rural county. Complete parts (a) through (c) below. Click the icon to view the table of Lyme disease and drowning deaths. Click the icon to view the critical values table. . . . (a) Draw a scatter diagram of the data. Choose the correct graph below. O A. B. O C. OD. A Drownings A Drownings ALyme Disease A Drownings 20- 20- 20- 20- 0- 0- 30 30 30 0 30 Lyme Disease Lyme Disease Drownings Lyme Disease (b) Determine the linear correlation coefficient between Lyme disease and drowning deaths. The linear correlation coefficient between Lyme disease and drowning deaths is r = (Round to three decimal places as needed.)The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. - X Data for licensed drivers by age and gender. Number of Number of Number of Male Fatal Number of Female Fatal Licensed Drivers Crashes Licensed Drivers Crashes Age (000s) (Male) (000s) (Female) 74 4,803 2,022 5,375 968 an example Print Get Done ContinueThe accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university K Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. y = _x + 0 (Round to three decimal places as needed.)An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y =x + 0 (Round the x coefficient to five decimal places as needed. Round the constant to two decimal places as needed.)The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. . . (a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females