a)A car dealership conducted a survey. It showed that a younger customer tended to purchase a lower priced car. What is likely true?There is no correlation between age and purchase price.There is a correlation between age and purchase price. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between age and purchase price. There is probably also causation. This is because there is a decrease in the purchase price with a decrease in age.(b)A doctor's office found that a lower outside temperature did not indicate a change in the number of appointments made. What can we determine from this information?There is no correlation between outside temperature and number of appointments made.There is a correlation between outside temperature and number of appointments made. However, there is no causation. This is because there is likely an increase in the number of appointments made with a decrease in the temperature outside.There is a correlation between outside temperature and number of appointments made. There may or may not be causation. Further studies would have to be done to determine this.(c)A piano instructor examined student progress. He noticed that when students spend less time playing video games, their memorization ability does not tend to change. What can he conclude?There is no correlation between amount of time spent playing video games and memorization ability.There is a correlation between amount of time spent playing video games and memorization ability. There is probably also causation. This is because there is an increase in memorization ability with a decrease in the amount of time spent playing video games.There is a correlation between amount of time spent playing video games and memorization ability. There may or may not be causation. Further studies would have to be done to determine this.

A grocery store collected sales data. It found that a change in price does not imply that people will buy more or less milk. What can we determine from this information?There is no correlation between price and amount of milk bought.There is a correlation between price and amount of milk bought. However, there is no causation. This is because there is likely a decrease in the amount of milk bought with an increase in the price.There is a correlation between price and amount of milk bought. There may or may not be causation. Further studies would have to be done to determine this.

There is a correlation of r = −.74 between the cost of bananas and new passenger car sales in the United States (Vigen, n.d.). Which of the following is an appropriate conclusion? 1 pointAn increase in the cost of bananas causes a decrease in new passenger car sales.There is a statistically significant relationship between the cost of bananas and new passenger car sales.As the cost of bananas decreases, new passenger car sales decrease.As the cost of bananas increases, new passenger car sales decrease.

(a)A financial magazine conducted a survey. It showed that a person with more years of education tends to have a higher salary. What is likely true?There is no correlation between years of education and salary.There is a correlation between years of education and salary. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between years of education and salary. There is probably also causation. This is because there is an increase in salary with an increase in the years of education.(b)A grocery store collected sales data. It found that a change in price does not imply that people will buy more or less milk. What can we determine from this information?There is no correlation between price and amount of milk bought.There is a correlation between price and amount of milk bought. However, there is no causation. This is because there is likely a decrease in the amount of milk bought with an increase in the price.There is a correlation between price and amount of milk bought. There may or may not be causation. Further studies would have to be done to determine this.(c)Ms. Roberts studied her students' Spanish test scores and TV habits. She found that students who watched less TV tended to earn higher scores on the test. What conclusion should she make?There is no correlation between test score and amount of TV watched.There is a correlation between test score and amount of TV watched. There is probably also causation. This is because there is an increase in a student's test score with a decrease in the amount of TV watched.There is a correlation between test score and amount of TV watched. There may or may not be causation. Further studies would have to be done to determine this.

Which of the following is an example of a negative correlation?Question 12Answera.The rate of heart attacks is directly proportional to yearly income.b.Shoe size increases as height increases.c.Body weight increases as children get older.d.The likelihood of owning a baseball card collection decreases with age.

Assertion (A) Sale of ice-cream increases during summer, shows positive correlation.Reason (R) When two variables move in same direction, it shows positive correlation.