Listed below are annual data for various years. the data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. construct a scatterplot, find the value of the linear correlation coefficient r, and find thep-value using α=0.05. is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? do the results suggest that imported lemons cause car fatalities?

lemon_imports_(x) crash_fatality_rate_(y)
230 15.8
264 15.6
359 15.5
482 15.3
531 14.9

what are the null and alternative hypotheses?

For the rule of 78, for a 12-month period, the last term in the sequence is 12 and the series sums to 78. for an 10 month period, the last term is and the series sum is . for a 15 month period, the last term is and the series sum is . for a 20 month period, the last term is and the series sum is

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? )

Change negative exponents to positive. then solve. round to four decimal places