Hector gathered data from eight students who have accounts with two social networking apps about the number of people they connect with on each account. Hector's data is displayed in the table. FriendNet Connections Buddy2Buddy Connections 80 72 91 117 54 46 112 84 70 78 213 181 99 125 162 154 Which statements correctly interpret what Hector's data suggests about the number of connections people have on the two accounts? Hector's data does not indicate causation because the connections a person has on one app do not influence the number of connections they have on the other app. Hector's data indicates causation because the people with more connections on their FriendNet account tend to have more connections on their Buddy2Buddy account. The correlation coefficient, 0.91, indicates that people tend to have approximately 91% as many connections on one account as they have on their other account. The correlation coefficient, 0.91, indicates a strong negative correlation between the number of connections on each account because it is very close to 0. The correlation coefficient, 0.91, indicates a weak positive correlation between the number of connections on each account because it is greater than 0 and less than 1. The correlation coefficient, 0.91, indicates a strong positive correlation between the number of connections on each account because it is greater than 0 and close to 1.