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| Teaching Since: | May 2017 |
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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
13.4 A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bank- ruptcies per 1,000 people, X3= 2004 federal expenditures per capita, and X4= 2005 high school graduation percentage. (a) Write the fitted regression equation. (b) Interpret each coefficient.
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(c) Would the intercept seem to have meaning in this regression? (d) Make a prediction for Burglary when X1 = 35 years, X2 = 7.0 bankruptcies per 1,000, X3 = $6,000, and X4= 80 percent. Burglary
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