Answer the questions below.(a)A phone company determined that a higher income indicates that a customer has a more expensive calling plan. What does the analysis show?There is no correlation between income and calling plan price.There is a correlation between income and calling plan price. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between income and calling plan price. There is probably also causation. This is because there is an increase in the calling plan price with an increase in income.(b)A produce stand conducted a study. It showed that a customer does not tend to buy more or less fruit when more samples are offered. What can we conclude?There is no correlation between amount of fruit bought and number of samples offered.There is a correlation between amount of fruit bought and number of samples offered. However, there is no causation. This is because there is probably an increase in the amount of fruit bought with an increase in the number of samples offered.There is a correlation between amount of fruit bought and number of samples offered. There may or may not be causation. Further studies would have to be done to determine this.(c)Diane compared the player statistics from her team's soccer season. She determined that having less playing time implies that a player scores fewer goals. What should she say based on her findings?There is no correlation between playing time and number of goals.There is a correlation between playing time and number of goals. There may or may not be causation. Further studies would have to be done to determine this.There is a correlation between playing time and number of goals. However, there is no causation. This is because there is a decrease in the number of goals with a decrease in playing time.

(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.

A dataset includes two variables for a city in the past 40 years: the number of high school graduates and the consumption of pizzas each year. You find that the two variables are positively correlated.Which of the following statement best describes such a correlation?i)High school graduates love eating pizzas.ii)If we increase the number of high school graduates, we would expect an increase in the pizza consumption.iii)As there might be an increase in the general population of the city, the number of high school graduates appears to be positively correlated with the pizza consumption. iv)Pizza stores should target high schools to increase their revenue. Question 8Answera.iiib.iic.i, ii and ivd.i and iie.None of the listed statements

Which of the following is the best interpretation for the information in the graph?Group of answer choicesAlthough adult literacy and mobile phone ownership are closely correlated, correlation does not imply causation. The two variables could just be related by chance.The graph provides evidence that increased use of mobile phones has caused a raise in adult literacy.The graph provides evidence that literate adults are more likely to own a mobile phone.The graph shows there is no correlation between the use of mobile phones and adult literacy.

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.

Correlation studies are useful in that they show causation to help us better understand how two variables relate to one another. Group of answer choicesTrue False