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(a) A phone company determined that an increase in income does not indicate a change in a customer's phone usage. What does the analysis show? There is no correlation between income and phone usage. There is a correlation between income and phone usage. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between income and phone usage. There is probably also causation. This is because there is likely an increase in phone usage with an increase in income. (b) A music store conducted a survey. It showed that the number of CDs purchased by a shopper decreases with the number of songs she downloaded. What can we likely say? There is no correlation between number of CDs purchased and number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. However, there is no causation. This is because there is a decrease in the number of CDs purchased with an increase in the number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. There may or may not be causation. Further studies would have to be done to determine this. (c) Linda compared the statistics from her team's baseball season. She determined that having fewer hits did not imply that a player caught more or fewer balls. What should she conclude? There is no correlation between number of hits and number of balls caught. There is a correlation between number of hits and number of balls caught. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between number of hits and number of balls caught. However, there is no causation. This is because there is probably a decrease in the number of balls caught with a decrease in the number of hits.

(a) A phone company determined that an increase in income does not indicate a change in a customer's phone usage. What does the analysis show? There is no correlation between income and phone usage. There is a correlation between income and phone usage. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between income and phone usage. There is probably also causation. This is because there is likely an increase in phone usage with an increase in income. (b) A music store conducted a survey. It showed that the number of CDs purchased by a shopper decreases with the number of songs she downloaded. What can we likely say? There is no correlation between number of CDs purchased and number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. However, there is no causation. This is because there is a decrease in the number of CDs purchased with an increase in the number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. There may or may not be causation. Further studies would have to be done to determine this. (c) Linda compared the statistics from her team's baseball season. She determined that having fewer hits did not imply that a player caught more or fewer balls. What should she conclude? There is no correlation between number of hits and number of balls caught. There is a correlation between number of hits and number of balls caught. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between number of hits and number of balls caught. However, there is no causation. This is because there is probably a decrease in the number of balls caught with a decrease in the number of hits.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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(a) A phone company determined that an increase in income does not indicate a change in a customer's phone usage. What does the analysis show? There is no correlation between income and phone usage. There is a correlation between income and phone usage. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between income and phone usage. There is probably also causation. This is because there is likely an increase in phone usage with an increase in income. (b) A music store conducted a survey. It showed that the number of CDs purchased by a shopper decreases with the number of songs she downloaded. What can we likely say? There is no correlation between number of CDs purchased and number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. However, there is no causation. This is because there is a decrease in the number of CDs purchased with an increase in the number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. There may or may not be causation. Further studies would have to be done to determine this. (c) Linda compared the statistics from her team's baseball season. She determined that having fewer hits did not imply that a player caught more or fewer balls. What should she conclude? There is no correlation between number of hits and number of balls caught. There is a correlation between number of hits and number of balls caught. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between number of hits and number of balls caught. However, there is no causation. This is because there is probably a decrease in the number of balls caught with a decrease in the number of hits.
Transcribed Image Text:(a) A phone company determined that an increase in income does not indicate a change in a customer's phone usage. What does the analysis show? There is no correlation between income and phone usage. There is a correlation between income and phone usage. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between income and phone usage. There is probably also causation. This is because there is likely an increase in phone usage with an increase in income. (b) A music store conducted a survey. It showed that the number of CDs purchased by a shopper decreases with the number of songs she downloaded. What can we likely say? There is no correlation between number of CDs purchased and number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. However, there is no causation. This is because there is a decrease in the number of CDs purchased with an increase in the number of songs downloaded. O There is a correlation between number of CDs purchased and number of songs downloaded. There may or may not be causation. Further studies would have to be done to determine this. (c) Linda compared the statistics from her team's baseball season. She determined that having fewer hits did not imply that a player caught more or fewer balls. What should she conclude? There is no correlation between number of hits and number of balls caught. There is a correlation between number of hits and number of balls caught. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between number of hits and number of balls caught. However, there is no causation. This is because there is probably a decrease in the number of balls caught with a decrease in the number of hits.
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