The information is as follows: Month, Cases of Lyme Disease, Drowning Deaths: Month: January, February, March, April, May, June, July, August, September, October, November, December Cases of Lyme Disease: 3, 2, 2, 4, 5, 12, 22, 13, 6, 5, 4, 1 Drowning Deaths: 0, 1, 2, 1, 2, 9, 15, 5, 6, 3, 3, 1, 0 a) Compute the correlation coefficient for the data. b) Is there a significant linear relationship? c) Do you believe an increase in Lyme disease causes an increase in the number of drownings?
The information is as follows: Month, Cases of Lyme Disease, Drowning Deaths:
Month: January, February, March, April, May, June, July, August, September, October, November, December
Cases of Lyme Disease: 3, 2, 2, 4, 5, 12, 22, 13, 6, 5, 4, 1
Drowning Deaths: 0, 1, 2, 1, 2, 9, 15, 5, 6, 3, 3, 1, 0
a) Compute the
b) Is there a significant linear relationship?
c) Do you believe an increase in Lyme disease causes an increase in the number of drownings?
d) A “lurking variable” is a variable that influences both of the variables (cases of Lyme disease and number of drownings) in a
Name one possible lurking variable that might cause the number of Lyme disease cases and drownings to be correlated.
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