Basic Business Statistics
Basic Business Statistics
14th Edition
ISBN: 9780134684840
Author: BERENSON, Mark L., Levine, David M., Szabat, Kathryn A.
Publisher: Pearson,
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Chapter 15, Problem 19PS

Refer to Problem 14.7 on page 542. Perform a multiple regression analysis using the data in Nickels26Weeks and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity?

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5. Let X be a positive random variable with finite variance, and let A = (0, 1). Prove that P(X AEX) 2 (1-A)² (EX)² EX2
6. Let, for p = (0, 1), and xe R. X be a random variable defined as follows: P(X=-x) = P(X = x)=p. P(X=0)= 1-2p. Show that there is equality in Chebyshev's inequality for X. This means that Chebyshev's inequality, in spite of being rather crude, cannot be improved without additional assumptions.
4. Prove that, for any random variable X, the minimum of EIX-al is attained for a = med (X).

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