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(a) A yoga instructor collected student data. She found that students who had less sleep did not tend to burn more or fewer calories during class. What can she conclude? There is no correlation between amount of sleep and number of calories burned. There is a correlation between amount of sleep and number of calories burned. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between amount of sleep and number of calories burned. There is probably also causation. This is because there is likely an increase in the number of calories burned with an increase in the amount of sleep. (b) A traffic study determined that a larger city population indicates a longer commute time for drivers. What can we say from this information? There is no correlation between commute time and city population. There is a correlation between commute time and city population. However, there is no causation. This is because there is an increase in the commute time with an increase in the city population. There is a correlation between commute time and city population. There may or may not be causation. Further studies would have to be done to determine this. (c) A company found that employees who start work earlier do not necessarily drink more or less coffee. Which statement is most likely true? There is no correlation between start time and amount of coffee consumed. There is a correlation between start time and amount of coffee consumed. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between start time and amount of coffee consumed. However, there is no causation. This is because there is probably an increase in the amount of coffee consumed with an earlier start time.

(a) A yoga instructor collected student data. She found that students who had less sleep did not tend to burn more or fewer calories during class. What can she conclude? There is no correlation between amount of sleep and number of calories burned. There is a correlation between amount of sleep and number of calories burned. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between amount of sleep and number of calories burned. There is probably also causation. This is because there is likely an increase in the number of calories burned with an increase in the amount of sleep. (b) A traffic study determined that a larger city population indicates a longer commute time for drivers. What can we say from this information? There is no correlation between commute time and city population. There is a correlation between commute time and city population. However, there is no causation. This is because there is an increase in the commute time with an increase in the city population. There is a correlation between commute time and city population. There may or may not be causation. Further studies would have to be done to determine this. (c) A company found that employees who start work earlier do not necessarily drink more or less coffee. Which statement is most likely true? There is no correlation between start time and amount of coffee consumed. There is a correlation between start time and amount of coffee consumed. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between start time and amount of coffee consumed. However, there is no causation. This is because there is probably an increase in the amount of coffee consumed with an earlier start time.

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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(a) A yoga instructor collected student data. She found that students who had less sleep did not tend to burn more or fewer calories during class. What can she conclude? There is no correlation between amount of sleep and number of calories burned. There is a correlation between amount of sleep and number of calories burned. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between amount of sleep and number of calories burned. There is probably also causation. This is because there is likely an increase in the number of calories burned with an increase in the amount of sleep. (b) A traffic study determined that a larger city population indicates a longer commute time for drivers. What can we say from this information? There is no correlation between commute time and city population. There is a correlation between commute time and city population. However, there is no causation. This is because there is an increase in the commute time with an increase in the city population. There is a correlation between commute time and city population. There may or may not be causation. Further studies would have to be done to determine this. (c) A company found that employees who start work earlier do not necessarily drink more or less coffee. Which statement is most likely true? There is no correlation between start time and amount of coffee consumed. There is a correlation between start time and amount of coffee consumed. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between start time and amount of coffee consumed. However, there is no causation. This is because there is probably an increase in the amount of coffee consumed with an earlier start time.
Transcribed Image Text:(a) A yoga instructor collected student data. She found that students who had less sleep did not tend to burn more or fewer calories during class. What can she conclude? There is no correlation between amount of sleep and number of calories burned. There is a correlation between amount of sleep and number of calories burned. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between amount of sleep and number of calories burned. There is probably also causation. This is because there is likely an increase in the number of calories burned with an increase in the amount of sleep. (b) A traffic study determined that a larger city population indicates a longer commute time for drivers. What can we say from this information? There is no correlation between commute time and city population. There is a correlation between commute time and city population. However, there is no causation. This is because there is an increase in the commute time with an increase in the city population. There is a correlation between commute time and city population. There may or may not be causation. Further studies would have to be done to determine this. (c) A company found that employees who start work earlier do not necessarily drink more or less coffee. Which statement is most likely true? There is no correlation between start time and amount of coffee consumed. There is a correlation between start time and amount of coffee consumed. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between start time and amount of coffee consumed. However, there is no causation. This is because there is probably an increase in the amount of coffee consumed with an earlier start time.
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