Wolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km2/1000. The following data are representative of one of the national parks. x wolves 29 37 22 61 94 y km2/1000 7.35 12.18 8.15 15.39 16.81 Find the predicted size of the hunting region for an extended pack of 78 wolves. (Use 2 decimal places.) km2/1000 (e) Find an 85% confidence interval for your prediction of part (d). (Use 1 decimal place.) lower limit km2/1000 upper limit km2/1000 (f) Use a 1% level of significance to test the claim that β > 0. (Use 2 decimal places.) t   critical t   (g) Find a 95% confidence interval for β and interpret its meaning in terms of drift rate. (Use 2 decimal places.) lower limit   upper limit   Interpretation

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
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Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Wolf packs tend to be large extended family groups that have a well-defined hunting territory. Wolves not in the pack are driven out of the territory or killed. In ecologically similar regions, is the size of an extended wolf pack related to size of hunting region? Using radio collars on wolves, the size of the hunting region can be estimated for a given pack of wolves. Let x represent the number of wolves in an extended pack and y represent the size of the hunting region in km2/1000. The following data are representative of one of the national parks.

x wolves 29 37 22 61 94
y km2/1000 7.35 12.18 8.15 15.39 16.81

Find the predicted size of the hunting region for an extended pack of 78 wolves. (Use 2 decimal places.)
km2/1000

(e) Find an 85% confidence interval for your prediction of part (d). (Use 1 decimal place.)

lower limit km2/1000
upper limit km2/1000


(f) Use a 1% level of significance to test the claim that

β > 0.

(Use 2 decimal places.)

t  
critical t  

(g) Find a 95% confidence interval for β and interpret its meaning in terms of drift rate. (Use 2 decimal places.)

lower limit  
upper limit  

Interpretation

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