A regression model to predict Y' tabindex=0>YY , the state-by-state 2005 burglary crime rate per 100,000' tabindex=0>100,000100,000

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Question:

A regression model to predict $Y' tabindex="0">YY$ , the state-by-state 2005 burglary crime rate per $100,000' tabindex="0">100,000100,000$ people, used the following four state predictors: $X1=' tabindex="0">X1=X1=$ median age in 2005, $X2=' tabindex="0">X2=X2=$ number of 2005 bankruptcies per $1,000' tabindex="0">1,0001,000$ people, $X3=' tabindex="0">X3=X3=$ 2004 federal expenditures per capita, and $X4=' tabindex="0">X4=X4=$ 2005 high school graduation percentage.

A) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.)

B) Make a prediction for Burglary when $X1=34' tabindex="0">X1=34X1=34$ years, $X2=7.9' tabindex="0">X2=7.9X2=7.9$ bankruptcies per $1,000' tabindex="0">1,0001,000$ , $X3=$7,959' tabindex="0">X3=$7,959X3=$7,959$ , and $X4=89' tabindex="0">X4=89X4=89$ percent. (Enter your answer in thousands. Round your answer to 4 decimal places.)