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.

A$.$

B$.$

B$.$

c$.$

C$.$

D$.$

$($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?

The variables Lyme disease and drowning deaths are associated because $r$ is and the absolute value of the correlation coefficient, is than the $/$alues for Correlation Co critical value,

$($Round to three decimal places as needed.$)$

A$.$ An increase in Lyme disease does not cause an increase in drowning deaths. The temperature and time of year are likely 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 causes an increase in drowning deaths. There are no 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.

$\backslash$table$[[$Cases of Lyme Disease,$\backslash$table$[[$Drowning$],[$Deaths$]],$Month$],[2,0,J$