A regression model to predict Y, the state-by-state 2005 burglary aimo rato per

Question

A regression model to predict Y, the state-by-state 2005 burglary aimo rato per 100,000 people, used the following four state predictors: X1 median age in 2005, X2 number of 2005 bankruptcies per 1,000 people, Xs 2004 federal expenditures per capita, and x 2005 high Pred Motor Coeficient Intercept 4,198.5808 27,3540 Bankrupt 17.4893 0124 HS Grad% -29.0314 A Click here for the Excel Data File (a) write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.) Acelea. Bankrupt Fed Spend HSGrad9% (b-1) The 2005 state-by-state crime rate per 100,000 O decreases by about 27 as the state median age increases. O increases by about 27 as the state median age decreases. O increases by about 20 as the state median age decreases. O decreases by about 17 as the state median age increases. (b-2) The 2005 state-by-state crime rate per 100,000 decreases by about 7 for every 1,000 new bankruptcies filed. O increases by about 27 for every 1,000 new bankruptcies filed. decreases by about 17 for every 1.000 new bankruptcies filed. increases by about 17 for every 1,000 new bankruptcies filed.

Explanation / Answer

(a) Y = 4198.5808 - 27.3540X1 + 17.4893X2 - 0.0124X3 - 29.0314X4

(b1) Option A

(b2) Option D

(b3) Option C

(b4) Option A

(c) Intercept has no meaning

(d) 966.70

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