1. Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. a. For this sample of paired data, what does r represent, and what does p represent? b. Without doing any research or calculations, estimate the value of r. c. Does r change if body temperatures are converted to Fahrenheit degrees? a. Choose the correct answer below. O A. ris a statistic that represents the value of the linear correlation coefficient computed from the paired sample data, and p is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students. O B. ris a statistic that represents the proportion of the variation in head circumference that can be explained by variation in body temperature, and p is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students. O C. ris a statistic that represents the value of the linear correlation coefficient computed from the paired sample data, and p is a parameter that represents the proportion of the variation in head circumference that can be explained by variation in body temperature. D. ris a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students, and p is a statistic that represents the value of the linear correlation coefficient computed from the paired sample data. b. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal rounded to one decimal place as needed.) O A. The value of r is estimated to be because it is likely that there is no correlation between body temperature and head circumference. B. The value of r is estimated to be because it is likely that body temperature and head circumference are strongly positively correlated. C. The value of r is estimated to be because it is likely that body temperature and head circumference are strongly negatively correlated. c. Choose the correct answer below. O A. The value of r does not change, because r is not affected by relationships that are not linear. B. The value of r does not change, because r is not affected by the choice of x or y. O C. The value of r does not change, because r is not affected by converting all values of a variable to a different scale. D. The value of r changes, because r is affected by converting all values of a variable to a different scale.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 3E
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1. Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and
their head circumference (cm) is measured.
a. For this sample of paired data, what does r represent, and what does p represent?
b. Without doing any research or calculations, estimate the value of r.
c. Does r change if body temperatures are converted to Fahrenheit degrees?
a. Choose the correct answer below.
O A. ris a statistic that represents the value of the linear correlation coefficient computed from the
paired sample data, and p is a parameter that represents the value of the linear correlation
coefficient that would be computed by using all of the paired data in the population of all
statistics students.
O B. ris a statistic that represents the proportion of the variation in head circumference that can be
explained by variation in body temperature, and p is a parameter that represents the value of
the linear correlation coefficient that would be computed by using all of the paired data in the
population of all statistics students.
O C. ris a statistic that represents the value of the linear correlation coefficient computed from the
paired sample data, and p is a parameter that represents the proportion of the variation in head
circumference that can be explained by variation in body temperature.
D. ris a parameter that represents the value of the linear correlation coefficient that would be
computed by using all of the paired data in the population of all statistics students, and p is a
statistic that represents the value of the linear correlation coefficient computed from the paired
sample data.
b. Select the correct choice below and fill in the answer box to complete your choice.
(Type an integer or a decimal rounded to one decimal place as needed.)
O A. The value of r is estimated to be
because it is likely that there is no correlation
between body temperature and head circumference.
B. The value of r is estimated to be
because it is likely that body temperature and
head circumference are strongly positively correlated.
C. The value of r is estimated to be
because it is likely that body temperature and
head circumference are strongly negatively correlated.
c. Choose the correct answer below.
O A. The value of r does not change, because r is not affected by relationships that are not linear.
B. The value of r does not change, because r is not affected by the choice of x or y.
O C. The value of r does not change, because r is not affected by converting all values of a variable
to a different scale.
D. The value of r changes, because r is affected by converting all values of a variable to a different
scale.
Transcribed Image Text:1. Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. a. For this sample of paired data, what does r represent, and what does p represent? b. Without doing any research or calculations, estimate the value of r. c. Does r change if body temperatures are converted to Fahrenheit degrees? a. Choose the correct answer below. O A. ris a statistic that represents the value of the linear correlation coefficient computed from the paired sample data, and p is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students. O B. ris a statistic that represents the proportion of the variation in head circumference that can be explained by variation in body temperature, and p is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students. O C. ris a statistic that represents the value of the linear correlation coefficient computed from the paired sample data, and p is a parameter that represents the proportion of the variation in head circumference that can be explained by variation in body temperature. D. ris a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students, and p is a statistic that represents the value of the linear correlation coefficient computed from the paired sample data. b. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal rounded to one decimal place as needed.) O A. The value of r is estimated to be because it is likely that there is no correlation between body temperature and head circumference. B. The value of r is estimated to be because it is likely that body temperature and head circumference are strongly positively correlated. C. The value of r is estimated to be because it is likely that body temperature and head circumference are strongly negatively correlated. c. Choose the correct answer below. O A. The value of r does not change, because r is not affected by relationships that are not linear. B. The value of r does not change, because r is not affected by the choice of x or y. O C. The value of r does not change, because r is not affected by converting all values of a variable to a different scale. D. The value of r changes, because r is affected by converting all values of a variable to a different scale.
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