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 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage.  Predictor Coefficient Intercept 4,808.2085 AgeMed -28.944 Bankrupt 15.3903 FedSpend -0.0261 HSGrad% -28.7834    (a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.) yˆy^ =  +  AgeMed +  Bankrupt +  FedSpend +   HSGrad% (b-1) The 2005 state-by-state crime rate per 100,000

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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 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage.
 

Predictor Coefficient
Intercept 4,808.2085
AgeMed -28.944
Bankrupt 15.3903
FedSpend -0.0261
HSGrad% -28.7834
 

 
(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.)
 
yˆy^ =  +  AgeMed +  Bankrupt +  FedSpend +   HSGrad%
 
(b-1) The 2005 state-by-state crime rate per 100,000

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