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A regression model to predict Y, the state-by-state burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age, X2

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A regression model to predict Y, the state-by-state burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age, X2 = number of bankruptcies per 1,000 people, X3 = federal expenditures per capita, and X4 = high school graduation percentage. Predictor Coefficient Intercept 4, 303.7622 AgeMed - 28 . 090 Bankrupt 15.7639 FedSpend -0.0330 HSGrad* -26.2752 (a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.) X Answer is not complete. + AgeMed + Bankrupt + FedSpend + HSGrad%

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