A paper suggests that the simple linear regression model is reasonable for describing the relationship between  y = eggshell  thickness (in micrometers, µm) and  x = egg  length (mm) for quail eggs. Suppose that the population regression line is  y = 0.185 + 0.007x  and that ?e = 0.005. Then, for a fixed x value, y has a normal distribution with mean  0.185 + 0.007x  and standard deviation 0.005. (You may need to use a table.) b)What is the probability that a quail egg with a length of 15 mm will have a shell thickness that is greater than 0.29 µm?   (c)Approximately what proportion of quail eggs of length 14 mm have a shell thickness of greater than 0.281? (Hint: The distribution of y at a fixed x is approximately normal. Round your answer to four decimal places.)   Approximately what proportion of quail eggs of length 14 mm have a shell thickness of less than 0.286? (Round your answer to four decimal places.

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A paper suggests that the simple linear regression model is reasonable for describing the relationship between 

y = eggshell

 thickness (in micrometers, µm) and 

x = egg

 length (mm) for quail eggs. Suppose that the population regression line is 

y = 0.185 + 0.007x

 and that ?e = 0.005. Then, for a fixed x value, y has a normal distribution with mean 

0.185 + 0.007x

 and standard deviation 0.005. (You may need to use a table.)

b)What is the probability that a quail egg with a length of 15 mm will have a shell thickness that is greater than 0.29 µm?
 
(c)Approximately what proportion of quail eggs of length 14 mm have a shell thickness of greater than 0.281? (Hint: The distribution of y at a fixed x is approximately normal. Round your answer to four decimal places.)
 
Approximately what proportion of quail eggs of length 14 mm have a shell thickness of less than 0.286? (Round your answer to four decimal places.)
 
 
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