If you had two variables, the weight of a car measured in pounds and the fuel economy measured in miles per gallon, then which of the following quantitative modeling methodologies would be preferred for modeling fuel economy as a function of weight?
(a) a probability tree
(b) a Markov chain
(c) a regression model
(d) a Monte Carlo Simulation

1. 3.4/4

2. 0.8/7

3. 0.5 x 3

4. 0.9 x 6

5. 10.8

6. 2.35

7. 0.567

8. 9.35

9. 0.02

10. 0.06

11. 0.16

12. 0.42

13. 0.63

14. 5.6

15. 8.1

16. 9.9

17. 0.28

18. 0.48

19. 0.27

20. 0.49

21. 0.45

22. 0.72

23. 0.9

24. 0.88

25. 0.75

26. 0.16

27. 0.328

28. 0.495

29. 0.72

30. 1.068

113.1

step-by-step explanation:

v=4

3πr3=4

3·π·33≈113.09734

question: match the eqaution with its graph -8x - 5y = 40

answer: 8 x 5 = 40

x= absiss

y= orderly

so you have a proportional graph

question answered by

(jacemorris04)