The city's transportation department is interested in studying the relationship between the outside temperature and the number of passengers that ride the main bus line in order to better serve their customers. The manager recorded the temperature at the beginning of the hour and then had a bus driver record the number of passengers that boarded the bus throughout the hour. Calculate the Pearson's correlation coefficient for the dataset below and interpret what that means. temperature passengers 80.8 33 82.7 44 92.2 34 82.8 35 79.2 19 80 29 79.4 41 120.5 24 108.1 37 65.3 34 The correlation is -0.198. There is a strong negative linear association between temperature and passengers. The correlation is -0.198. There is a weak negative linear association between temperature and passengers. The correlation is 0.198. There is a weak positive linear association between temperature and passengers. The correlation is -0.198. There is a weak positive linear association between temperature and passengers. The correlation is 0.198. There is a weak negative linear association between temperature and passengers.