Maurice Tutor

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About Maurice Tutor

Levels Tought:
Elementary,Middle School,High School,College,University,PHD

Expertise:
Algebra,Applied Sciences See all
Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 401 Weeks Ago, 4 Days Ago
Questions Answered: 66690
Tutorials Posted: 66688

Education

  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 07 Jan 2018 My Price 9.00

Montana State University

Highway crash data analysis. Researchers at Montana State University have written a tutorial on an empirical method for analyzing before and after highway crash data (Montana Department of Transportation, Research Report, May 2004). The initial step in the methodology is to develop a Safety Performance Function (SPF)—a mathematical model that estimates crash occurrence for a given roadway segment. Using data collected for over 100 roadway segments, the researchers fit the model, E(y) = β0 + β1x1 + β2x2, where y = number of crashes per 3 years, x1 = roadway length (miles), and x2 = AADT (average annual daily traffic) (number of vehicles). The results are shown in the following tables.

(a) Give the least squares prediction equation for the interstate highway model.

(b) Give practical interpretations of the β estimates, part a.

(c) Refer to part a. Find a 99% confidence interval for β1 and interpret the result.

(d) Refer to part a. Find a 99% confidence interval for β2 and interpret the result.

(e) Repeat parts a–d for the non-interstate highway model.

 

Answers

Maurice Tutor
(5)
Status NEW Posted 07 Jan 2018 10:01 PM My Price 9.00

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