This preview shows pages 1–3. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: STAT 420 Fall 2007 October 4, 2007 Version A Name ______________________________ Exam 1 Page Possible Earned 1 9 2 10 3 4 4 9 5 7 6 10 7 11 Total 60 Be sure to show all your work; your partial credit might depend on it. No credit will be given without supporting work. The exam is closed book and closed notes. You are allowed to use a calculator and one 8½" x 11" sheet with notes on it. ___________________________________________________________________________ Academic Integrity The University statement on your obligation to maintain academic integrity is: If you engage in an act of academic dishonesty, you become liable to severe disciplinary action. Such acts include cheating; falsification or invention of information or citation in an academic endeavor; helping or attempting to help others commit academic infractions; plagiarism; offering bribes, favors, or threats; academic interference; computer related infractions; and failure to comply with research regulations. Rule 33 of the Code of Policies and Regulations Applying to All Students gives complete details of rules governing academic integrity for all students. You are responsible for knowing and abiding by these rules. x y 2 16 1 9 3 17 1 12 4 22 2 13 1 8 1. A substance used in biological and medical research is shipped by air freight to users in cartons of 1,000 ampules. The data, involving eight shipments, were collected on the number of times the carton was transferred from one aircraft to another (including the initial loading) over the shipment route ( x ) and the number of ampules found to be broken upon arrival ( y ). Assume the simple linear regression model is appropriate: Y i = β + β 1 x i + ε i ., where ε i ’s are i.i.d. N ( 0, σ 2 ). 2 15 Σ x = 16, Σ y = 112, Σ x 2 = 40, Σ y 2 = 1712, Σ x y = 256, Σ ( x – x ) 2 = 8, Σ ( y – y ) 2 = 144, Σ ( x – x ) ( y – y ) = Σ ( x – x ) y = 32....
View Full Document
This note was uploaded on 04/29/2010 for the course STAT stat 420 taught by Professor Stepanov during the Spring '07 term at University of Illinois at Urbana–Champaign.
- Spring '07