Question

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 here to view the table of Lyme disease and drowning deaths. Click here to view the critical values table. (a) Draw a scatter diagram of the data. Let the number of reported cases of Lyme disease be the explanatory variable. Choose the correct graph below. OA A Drownings 20- B. A Drownings 20- OC A Drownings 20-1 D. Drownings 20- Q Lyme Disease Lyme Disease Lyme Disease 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.) (c) Does a linear relation exist between the number of reported cases of Lyme disease and the number of drowning deaths? Do you believe that an increase of Lyme disease causes an increase in drowning deaths? What is a likely lurking variable between cases of Lyme disease and drowning deaths? The variables Lyme disease and drowning deaths are associated because ris and the absolute value of the correlation coefficient, is than the critical value, (Round to three decimal places as needed.) Do you believe that an increase of Lyme disease causes an increase in drowning deaths? What is a likely lurking variable between cases of Lyme disease and drowning deaths? A. An increase in Lyme disease causes an increase in drowning deaths. There are no lurking variables. B. An increase in Lyme disease does not cause an increase in drowning deaths. There are no lurking variables. C. An increase in Lyme disease does not cause an increase in drowning deaths. The temperature and time of year are likely lurking variables. D. An increase in Lyme disease does not cause an increase in drowning deaths. Pesticide control and life guards are likely lurking variables.

Answer 1

X Υ Xy x2 y2 2 0 0.000 4.000 0.000 2 1 2.000 4.000 1.000 2 2 4.000 4.000 4.000 4 1 4.000 16.000 1.000 5 2 10.000 25.000 4.000 15 10 150.000 225.000 100.000 22 17 374.000 484.000 289.000 13 5 65.000 169.000 25.000 6 3 18.000 36.000 9.000 5 3 15.000 25.000 9.000 4 1 4.000 16.000 1.000 1 0 0.000 1.000 0.000 ΣΧ, = 81.000 ΣΥ, = 45.000 ΣX, Y = 646.000 Σx = 1009.000 Σy} = 443.000

a) option lol NERY Ency b ) 9 : ngu²-(2n)" ney" - Eyja 12 x646-81845 N : 12x1009 - 812 12x443-451 n 0.961 e) The variable and drowning lyone de sease cori positive correlation linear amo ciated because deaths are 9= 0 - 961 and the abosulute value of the correlation coefficient in 0.961 in greater

the critical value 0.576. Poption (e)