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sample estimates: cor -0.1175698 2. Based on the R output, there is a linear relationship between recorded temperature and death toll among bats. Q A. very weak direct O B. very weak inverse O C. moderate direct O D. weak inverse

sample estimates: cor -0.1175698 2. Based on the R output, there is a linear relationship between recorded temperature and death toll among bats. Q A. very weak direct O B. very weak inverse O C. moderate direct O D. weak inverse

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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For numbers 1 to 3: The thermal condition in a cave is critical for sustaining a bat population. A sudden change in the temperature is related to deaths of bats in hundreds. An attempt to measure the degree of association between the temperature (in °C) and death toll (number of deaths) was done using 20 caves with reported cases of massive death among bats. Assume that temperature and death toll are bivariate normal. Given below is the R software output: cor.test(tenp,death) Pearson's product-oment correlation data: temp and death t -1.4403, df - 148, p-value - 0.1519 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.27269325 0.04351158 sample estimates: cor -0.1175698 2. Based on the R output, there is a linear relationship between recorded temperature and death toll among bats. Q A. very weak direct O B. very weak inverse O C. moderate direct O D. weak inverse
Transcribed Image Text:For numbers 1 to 3: The thermal condition in a cave is critical for sustaining a bat population. A sudden change in the temperature is related to deaths of bats in hundreds. An attempt to measure the degree of association between the temperature (in °C) and death toll (number of deaths) was done using 20 caves with reported cases of massive death among bats. Assume that temperature and death toll are bivariate normal. Given below is the R software output: cor.test(tenp,death) Pearson's product-oment correlation data: temp and death t -1.4403, df - 148, p-value - 0.1519 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.27269325 0.04351158 sample estimates: cor -0.1175698 2. Based on the R output, there is a linear relationship between recorded temperature and death toll among bats. Q A. very weak direct O B. very weak inverse O C. moderate direct O D. weak inverse
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