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Question 1: In the normal error simple linear regression model, suppose all assumptions hold except constancy...

Question 1:
In the normal error simple linear regression model, suppose all assumptions hold except constancy of error variance with respect to X. Suppose E(Y) = V(Y). What transformation of y works to stabilize the variance?

Question 2:
Let Y1,Y2,...Yn be a random sample for a normal distribution with mean 10 and variance 4. Let Y(k) denote the Kth order statistics of this random sample. Approximate the probability:
P(Y(k) <= 8.5) , if K =15 and n = 50.

Please show all the work. Thank you

Math   Advanced-Math   
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