1. given the data set for the length of time a person has been jogging and the person's speed, hypothesize a relationship between the variables. i would expect the data to be positively correlated. i would expect the data to be negatively correlated. i would expect no correlation. there is not enough information to determine correlation. 2. analyze the following statement: brandon puts his water in the refrigerator so it will stay cold. is the statement an example of correlation or causation? correlation, because there aren't enough observable trials causation, because a refrigerator keeps things cold no relationship, because water temperature is independent of whether or not it is in a refrigerator there is not enough information to make a conclusion 3. the correlation coefficient for practicing violin and getting better grades in a group of people is 0.8. analyze the following statement: playing violin causes students to get better grades. is this a reasonable conclusion? yes; students who play violin must necessarily get better grades yes; the correlation coefficient is above 0.5, so that implies causation no; playing violin and earning better grades are completely unrelated no; even though there is a strong positive correlation, playing violin doesn't cause students to get better grades