For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or a correlation close to 0. Explain your choice. (a) price and weight of an apple There is a positive correlation, because the cost of produce is determined by its weight, so a heavier apple would cost more.There is a positive correlation, because the cost of produce is determined by its weight, so a heavier apple would cost less. There is a negative correlation, because the cost of produce is determined by its weight, so a heavier apple would cost more.There is a negative correlation, because the cost of produce is determined by its weight, so a heavier apple would cost less.There is a correlation close to 0, because the cost of produce is not related to its weight, so there no reason to believe a heavier apple would cost more. (b) a person's height and the number of pets he or she has There is a positive correlation, because taller people have fewer pets.There is a positive correlation, because taller people have more pets. There is a negative correlation, because taller people have fewer pets.There is a negative correlation, because taller people have more pets.There is a correlation close to 0, because there is no reason to believe that the height of a person would be at all associated with the number of pets a person has. (c) time spent studying for an exam and score on the exam There is a positive correlation, because, in general, the more time spent studying for an exam the higher the score will be.There is a positive correlation, because, in general, the more time spent studying for an exam the lower the score will be. There is a negative correlation, because, in general, the more time spent studying for an exam the lower the score will be.There is a negative correlation, because, in general, the more time spent studying for an exam the higher the score will be.There is a correlation close to 0, because, in general, there is no reason to believe that the amount of time spent studying for an exam is related to the score on the exam.

For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or a correlation close to 0. Explain your choice. (a) price and weight of an apple There is a positive correlation, because the cost of produce is determined by its weight, so a heavier apple would cost more.There is a positive correlation, because the cost of produce is determined by its weight, so a heavier apple would cost less. There is a negative correlation, because the cost of produce is determined by its weight, so a heavier apple would cost more.There is a negative correlation, because the cost of produce is determined by its weight, so a heavier apple would cost less.There is a correlation close to 0, because the cost of produce is not related to its weight, so there no reason to believe a heavier apple would cost more. (b) a person's height and the number of pets he or she has There is a positive correlation, because taller people have fewer pets.There is a positive correlation, because taller people have more pets. There is a negative correlation, because taller people have fewer pets.There is a negative correlation, because taller people have more pets.There is a correlation close to 0, because there is no reason to believe that the height of a person would be at all associated with the number of pets a person has. (c) time spent studying for an exam and score on the exam There is a positive correlation, because, in general, the more time spent studying for an exam the higher the score will be.There is a positive correlation, because, in general, the more time spent studying for an exam the lower the score will be. There is a negative correlation, because, in general, the more time spent studying for an exam the lower the score will be.There is a negative correlation, because, in general, the more time spent studying for an exam the higher the score will be.There is a correlation close to 0, because, in general, there is no reason to believe that the amount of time spent studying for an exam is related to the score on the exam.

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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Question

For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or a correlation close to 0. Explain your choice.

(a)

price and weight of an apple

There is a positive correlation, because the cost of produce is determined by its weight, so a heavier apple would cost more.There is a positive correlation, because the cost of produce is determined by its weight, so a heavier apple would cost less. There is a negative correlation, because the cost of produce is determined by its weight, so a heavier apple would cost more.There is a negative correlation, because the cost of produce is determined by its weight, so a heavier apple would cost less.There is a correlation close to 0, because the cost of produce is not related to its weight, so there no reason to believe a heavier apple would cost more.

(b)

a person's height and the number of pets he or she has

There is a positive correlation, because taller people have fewer pets.There is a positive correlation, because taller people have more pets. There is a negative correlation, because taller people have fewer pets.There is a negative correlation, because taller people have more pets.There is a correlation close to 0, because there is no reason to believe that the height of a person would be at all associated with the number of pets a person has.

(c)

time spent studying for an exam and score on the exam

There is a positive correlation, because, in general, the more time spent studying for an exam the higher the score will be.There is a positive correlation, because, in general, the more time spent studying for an exam the lower the score will be. There is a negative correlation, because, in general, the more time spent studying for an exam the lower the score will be.There is a negative correlation, because, in general, the more time spent studying for an exam the higher the score will be.There is a correlation close to 0, because, in general, there is no reason to believe that the amount of time spent studying for an exam is related to the score on the exam.

(d)

an adult's weight and the time it takes him or her to run one mile

There is a positive correlation, because, in general, the heavier an adult is the less time it will take to run 1 mile.There is a positive correlation, because, in general, the heavier an adult is the longer it will take to run 1 mile. There is a negative correlation, because, in general, the heavier an adult is the less time it will take to run 1 mile.There is a negative correlation, because, in general, the heavier an adult is the longer it will take to run 1 mile.There is a correlation close to 0, because, in general, there is no reason to believe that the weight of an adult is related to the time it will take to run 1 mile.

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