Data on x the weight of a pickup truck (pounds) and - distance (in feet) required for a truck traveling 40 miles per hour to come to a complete stop for 30 trucks was used to fit the least squares regression line y-26 + 0 05e which of the following statements is a correct interpretation of the value 0.05 in the equation of the regression line?

a. The correlation coefficient for this data set is 0.05
b. On average, the truck weight goes up 0.05 pound for each additional foot required to stop the truck.
c. On average, the stopping distance is 0.05 foot when the truck weight is 0.
d. On average, the stopping distance goes up 0.05 foot for each 1-pound increase in truck weight.
e. Approximately 5% of the variation in the stopping distances can be explained by the linear relationship between stopping distance and truck weight.

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? )