Question: 5. [/2 Points] BBBASICSTAT8 4.R.007. ' Interpolation, because we are predicting from data outside the range used to create the least-squares line. Interpolation, because we
![5. [/2 Points] BBBASICSTAT8 4.R.007. '\\ Interpolation, because we are predicting](https://s3.amazonaws.com/si.experts.images/answers/2024/07/6685cb8312c02_4186685cb82e280a.jpg)





![6. [/4 Points] ....... L. Bighorn sheep are beautiful wild animals found](https://s3.amazonaws.com/si.experts.images/answers/2024/07/6685cb85a4a05_4216685cb857f59f.jpg)




5. [/2 Points] BBBASICSTAT8 4.R.007. '\\ Interpolation, because we are predicting from data outside the range used to create the least-squares line. Interpolation, because we are predicting from data in the range used to create the least-squares line. Extrapolation, because we are predicting from data in the range used to create the least-squares line. '\\ Extrapolation, because we are predicting from data outside the range used to create the least-squares line. 6. [/4 Points] ....... L. Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: X 1 2 3 4 5 12.0 20.3 14.4 19.6 20.0 m USE SA Ex = 15; By = 86.3; 2x2 = 55; ):y2 = 1,547.61; ny = 274.2 (a) Find E, II, b, and the equation of the leastsquares line. (Round your answers for)? and y to two decimal places. Round your least-squares estimates to three decimal places.) )7 = 0' ' 13.5 O Ho: p = 13.5; H1: p # 13.5 O Ho: M = 13.5; H1: M 13.5 O Ho: M = 13.5; H1: M # 13.5 O Ho: p = 13.5; H1: p 0.500 O 0.250
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