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2. Based on the R output, there is a linear relationship between recorded cemperature and death toll among bats. O A. very weak direct B. very weak inverse

2. Based on the R output, there is a linear relationship between recorded cemperature and death toll among bats. O A. very weak direct B. very weak inverse

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 4CGP
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2. Based on the R output, there is a linear relationship between recorded temperature and death toll among bats. O A. very weak direct O B. very weak inverse O C. moderate direct D. weak inverse
Transcribed Image Text:2. Based on the R output, there is a linear relationship between recorded temperature and death toll among bats. O A. very weak direct O B. very weak inverse O C. moderate direct D. weak inverse
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(temp,death) Pearson's product-moment 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
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(temp,death) Pearson's product-moment 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
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