With the growth of internet service providers, a researcher decides to examine whether there is a correlation between cost of internet service per month and degree of customer satisfaction (higher scores mean high satisfaction). The researcher only includes programs with comparable types of services. Calculate the Pearson's correlation coefficient for the dataset below and interpret what that means. Dollars | Satisfaction 50.96 10 49.7 14 47.82 14 51.39 16 50.94 14 46.83 5 51.43 32 46.84 31 53.11 17 50.32 9 (1) The correlation is 0.052 . There is a weak negative linear association between Dollars and Satisfaction . ()2) The correlation is 0.052 . There is a strong positive linear association between Dollars and Satisfaction . (3) The correlation is -0.052 . There is a weak negative linear association between Dollars and Satisfaction . (4) The correlation is -0.052 . There is a weak positive linear association between Dollars and Satisfaction . (5) The correlation is 0.052 . There is a weak positive linear association between Dollars and Satisfaction