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: 398 Weeks Ago, 6 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 21 Mar 2018 My Price 8.00

number of serious crimes

Refer to the CDI data set in Appendix C.2.

a. For each geographic region, regress the number of serious crimes in a CDI (Y) against population density (X1, total population divided by land area), per capita personal income (X2), and percent high school graduates (X3). Use first-order regression model (6.5) with three predictor variables. State the estimated regression functions.

b. Are the estimated regression functions similar for the four regions? Discuss.

c. Calculate MSE and R2 for each region. Are these measures similar for the four regions? Discuss.

d. Obtain the residuals for each fitted model and prepare a box plot of the residuals for each fitted mode L Interpret your plots and state your findings.

Appendix C2

The city tax assessor was interested in predicting residential home sales prices in a midwestern

city as a function of various characteristics of the home and surrounding property. Data on 522 arms-length transactions were obtained for home sales during the year 2002. Each line of the data set has an identification number and provides information on 12 other variables. The 13 variables are:

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http://test.transtutors.com/qimg/fb0b1bd0-a2f9-45bb-9509-bde70d53a856.png

Answers

Maurice Tutor
(5)
Status NEW Posted 21 Mar 2018 07:03 AM My Price 8.00

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