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1. A researcher measured the shoe size and reading ability of a large group of children. She found that, as shoe size increases, so does
1. A researcher measured the shoe size and reading ability of a large group of children. She found that, as shoe size increases, so does reading ability. What does her analysis show? There is no correlation between shoe size and reading ability. There is a correlation between shoe size and reading ability. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between shoe size and reading ability. There is probably also causation. This is because there is an increase in reading ability with an increase in shoe size 2. A grocery store conducted a survey. It showed that when customers buy less cereal, it does not indicate a change in the amount of milk they purchase. What can we conclude? There is no correlation between amount of cereal bought and amount of milk purchased. There is a correlation between amount of cereal bought and amount of milk! purchased. However, there is no causation. This is because there is likely a decrease in the amount of milk purchased with a decrease in the amount of cereal bought. There is a correlation between amount of cereal bought and amount of milk purchased. There may or may not be causation. Further studies would have to be done to determine this. 3. Omar compared the player statistics from his team's basketball season. He determined that being taller does not imply that a player scores more or fewer points. What is likely true? There is no correlation between height and number of points scored. There is a correlation between height and number of points scored. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between height and number of points scored. However, there is no causation. This is because there is probably an increase in the number points scored with an increase in height. 1. A researcher measured the shoe size and reading ability of a large group of children. She found that, as shoe size increases, so does reading ability. What does her analysis show? There is no correlation between shoe size and reading ability. There is a correlation between shoe size and reading ability. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between shoe size and reading ability. There is probably also causation. This is because there is an increase in reading ability with an increase in shoe size 2. A grocery store conducted a survey. It showed that when customers buy less cereal, it does not indicate a change in the amount of milk they purchase. What can we conclude? There is no correlation between amount of cereal bought and amount of milk purchased. There is a correlation between amount of cereal bought and amount of milk! purchased. However, there is no causation. This is because there is likely a decrease in the amount of milk purchased with a decrease in the amount of cereal bought. There is a correlation between amount of cereal bought and amount of milk purchased. There may or may not be causation. Further studies would have to be done to determine this. 3. Omar compared the player statistics from his team's basketball season. He determined that being taller does not imply that a player scores more or fewer points. What is likely true? There is no correlation between height and number of points scored. There is a correlation between height and number of points scored. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between height and number of points scored. However, there is no causation. This is because there is probably an increase in the number points scored with an increase in height
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