Maurice Tutor

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About Maurice Tutor

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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: 408 Weeks Ago, 1 Day Ago
Questions Answered: 66690
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Education

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

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 22 Jan 2018 My Price 7.00

rural ratings of counties.

Urban/rural ratings of counties. Professional Geographer (February 2000) published a study of urban and rural counties in the western United States. University of Nevada (Reno) researchers asked a sample of 256 county commissioners to rate their ‘‘home’’ county on a scale of 1 (most rural) to 10 (most urban). The urban/rural rating (y) was used as the dependent variable in a first-order multiple regression model with six independent variables: total county population (x1), population density (x2), population concentration (x3), population growth (x4), proportion of county land in farms (x5), and 5-year change in agricultural land base (x6). Some of the regression results are shown in the next table.

(a) Write the least squares prediction equation for y.

(b) Give the null hypothesis for testing overall model adequacy.

(c) Conduct the test, part b, at α = .01 and give the appropriate conclusion.

(d) Interpret the values of R2 and R2a.

(e) Give the null hypothesis for testing the contribution of population growth (x4) to the model.

(f) Conduct the test, part e, at α = .01 and give the appropriate conclusion.

 

Answers

(5)
Status NEW Posted 22 Jan 2018 08:01 PM My Price 7.00

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