(a) a phone company determined that a higher income indicates that a customer has a more expensive calling…

(a) a phone company determined that a higher income indicates that a customer has a more expensive calling plan. what does the analysis show?\nthere is no correlation between income and calling - plan price.\nthere 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.\nthere 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.\n\n(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?\nthere is no correlation between amount of fruit bought and number of samples offered.\nthere 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.\nthere 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.\n\n(c) milan compared the player statistics from his teams soccer season. he determined that having less playing time implies that a player scores fewer goals. what should he say based on his findings?\nthere is no correlation between playing time and number of goals.\nthere 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.\nthere 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 phone company determined that a higher income indicates that a customer has a more expensive calling plan. what does the analysis show?\nthere is no correlation between income and calling - plan price.\nthere 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.\nthere 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.\n\n(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?\nthere is no correlation between amount of fruit bought and number of samples offered.\nthere 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.\nthere 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.\n\n(c) milan compared the player statistics from his teams soccer season. he determined that having less playing time implies that a player scores fewer goals. what should he say based on his findings?\nthere is no correlation between playing time and number of goals.\nthere 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.\nthere 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.

Answer

Answer:

(a) 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. (b) There is no correlation between amount of fruit bought and number of samples offered. (c) 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.

Brief Explanations:

(a) Higher income linked to more - expensive plans shows correlation, causation uncertain. (b) No tendency with more samples means no correlation. (c) Less playing time with fewer goals shows correlation, causation needs more study.