Determine the type of correlation that exists in the given data set. age (years) 23 45 39 74 63 52 59 28 35 11 26 49 iq 76 82 113 111 109 115 101 127 92 123 128 99 a. according to this data, there is a positive correlation between age and iq. b. according to this data, there is a negative correlation between age and iq. c. according to this data, there is no correlation between age and iq. d. there is not enough information in this data to determine what type of correlation exists between age and iq.

Questions 9-10. use the table of educational expenditures to answer the questions. k-12 education expenditures population indiana $9.97 billion 6.6 million illinois $28.54 billion 12.9 million kentucky $6.58 billion 4.4 million michigan $16.85 billion 9.9 million ohio $20.23 billion 11.6million 9. if the amount of k-12 education expenses in indiana were proportional to those in ohio, what would have been the expected value of k-12 expenditures in indiana? (give the answer in billions rounded to the nearest hundredth) 10. use the value of k-12 education expenditures in michigan as a proportion of the population in michigan to estimate what the value of k-12 education expenses would be in illinois. a) find the expected value of k-12 expenditures in illinois if illinois were proportional to michigan. (give the answer in billions rounded to the nearest hundredth) b) how does this compare to the actual value for k-12 expenditures in illinois? (lower, higher, same? )