A regression model to predictnbspy the state-by-state 2005


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.

(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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Basic Statistics: A regression model to predictnbspy the state-by-state 2005
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