Question

The paper "Predicting Yolk Height, Yolk Width, Albumen Length, Eggshell Weight, Egg Shape Index, Eggshell Thickness, Egg Surface Area of Japanese Quails Using Various Egg Traits as Regressors"† suggests that the simple linear regression model is reasonable for describing the relationship between y = eggshell thickness (in micrometers, µm) and x = egg length m) for quail eggs. Suppose that the population regression line is y = 0.155 + 0.007x and that σ = 0.005. Then, for a fixed x value, yhas a normal distribution with mean 0.155 + 0.007x and tandard deviation 0.005.

(a)

What is the mean eggshell thickness for quail eggs that are 15 mm in length?

  µm

For quail eggs that are 17 mm in length?

  µm

(b)

What is the probability that a quail egg with a length of 15 mm will have a shell thickness that is greater than 0.26 µm?

(c)

Approximately what proportion of quail eggs of length 14 mm have a shell thickness of greater than 0.25? (Hint: The distribution of y at a fixed x is approximately normal. Round your answer to four decimal places.)

Less than 0.256? (Round your answer to four decimal places.)

Answer 1

a)

mean  eggshell thickness or quail eggs that are 15 mm in length =0.155+0.007*15=0.26

mean  eggshell thickness or quail eggs that are 17 mm in length =0.155+0.007*17=0.274

b) probability that a quail egg with a length of 15 mm will have a shell thickness that is greater than 0.26 µm=0.50 (as it falls on mean value)

c)

mean  eggshell thickness or quail eggs that are 14 mm in length =0.155+0.007*14=0.253

proportion of quail eggs of length 14 mm have a shell thickness of greater than 0.25

P(X>0.25)=P(Z>(0.25-0.253)/0.005)=P(Z>-0.6)=0.7257

proportion of quail eggs of length 14 mm have a shell thickness of Less than 0.256:

P(X<0.256)=P(Z<0.6)=0.7257