Use PwrReg or ExpReg since they are exponential models, not linear.

Assume that the following data was collected for a chemical reaction where reactants A and B are reacting to form products C and D. As the products are formed, we measure their masses. You will be graded on both the accuracy of your work and the quality of your written communication.

Time (min)Amount of product(g)

2 3

6 5

7 7

8 10

10 13

12 17

14 21

16 26

18 34

20 50

a) What is the equation for the model of best fit? Illustrate your process carefully.

I got y=2.43x-8.85 but I'm not sure if it's right.

Many wildlife populations are monitored by taking aerial photographs. Information about the number of animals and their whereabouts is important to protecting certain species and to ensuring the safety of surrounding human populations. In addition, it is sometimes possible to monitor certain characteristics of the animals. The length of an alligator can be estimated quite accurately from aerial photographs or from a boat. However, the alligator's weight is much more difficult to determine. In the example below, data on the length (in inches) and weight (in pounds) of alligators captured in central Florida are given. Develop a model from which the weight of an alligator can be predicted from its length.

Length Weight

58 28

61 44

63 33

68 39

69 36

72 38

72 61

74 54

74 51

76 42

78 57

82 80

85 84

86 83

86 80

86 90

88 70

89 84

90 106

90 102

94 110

94 130

114 197

128 366

147 640

I originally got but I didn't realize I needed to use PwrReg or ExpReg. Can someone explain how to use PwrReg or ExpReg.

"We use regression analysis to predict weight on the basis of the length.

Our slope will be 5.9024 which we get from

slope=(25*287819-2124*2705)/(25*190282-(2124)^2)

Our intercept will be -393.3, which we get from

(2705*190282-2124*287819)/(25*190282-(2124^2))

Thus our equation will be

y=-393.264+5.9024x"