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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(temp, death) Pearson's product-moffent 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 3. Which of the following is(are) TRUE about the test of significance on the correlation coefficient? O A. There is no sufficient evidence to say that there is a linear relationship between recorded temperature and the death toll. O B. Thére is sufficient evidence to say that there is a linear relationship between recorded temperature and death toll. O C. There is no sufficient evidence to say that death toll is linearly dependent on recorded temperature. O D. There is sufficient evidence to say that death toll can be predicted using recorded temperature.

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-moffent 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 3. Which of the following is(are) TRUE about the test of significance on the correlation coefficient? O A. There is no sufficient evidence to say that there is a linear relationship between recorded temperature and the death toll. O B. Thére is sufficient evidence to say that there is a linear relationship between recorded temperature and death toll. O C. There is no sufficient evidence to say that death toll is linearly dependent on recorded temperature. O D. There is sufficient evidence to say that death toll can be predicted using recorded temperature.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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(temp, death) Pearson's product-moffent correlation data: 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: temp and death cor -0.1175698 3. Which of the following is(are) TRUE about the test of significance on the correlation coefficient? O A. There is no sufficient evidence to say that there is a linear relationship between recorded temperature and the death toll. O B. Thére is sufficient evidence to say that there is a linear relationship between recorded temperature and death toll. O C. There is no sufficient evidence to say that death toll is linearly dependent on recorded temperature. O D. There is sufficient evidence to say that death toll can be predicted using recorded temperature.
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-moffent correlation data: 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: temp and death cor -0.1175698 3. Which of the following is(are) TRUE about the test of significance on the correlation coefficient? O A. There is no sufficient evidence to say that there is a linear relationship between recorded temperature and the death toll. O B. Thére is sufficient evidence to say that there is a linear relationship between recorded temperature and death toll. O C. There is no sufficient evidence to say that death toll is linearly dependent on recorded temperature. O D. There is sufficient evidence to say that death toll can be predicted using recorded temperature.
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