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	4,459.7813
AgeMed	-26.190
Bankrupt	16.9037
FedSpend	-0.0161
HSGrad%	-30.9882

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

multiple choice 2

• increases by about 26 as the state median age increases.
• decreases by about 26 as the state median age increases.

(b-2) The 2005 state-by-state crime rate per 100,000 multiple choice 4

• increases by about 17 for every 1,000 new bankruptcies filed.
• decreases by about 17 for every 1,000 new bankruptcies filed.

(b-3) The 2005 state-by-state crime rate per 100,000 multiple choice 6

• increases by 0.0161 for each dollar increase in federal funding per person.
• decreases by 0.0161 for each dollar increase in federal funding per person.

(b-4) The 2005 state-by-state crime rate per 100,000 multiple choice 8

• decreases by about 31 for each 1% increase in high school graduations.
• increases by about 31 for each 1% increase in high school graduations.

(c) Would the intercept seem to have meaning in this regression? multiple choice 10

• Yes
• No

(d) Make a prediction for Burglary when X₁ = 34 years, X₂ = 7.9 bankruptcies per 1,000, X₃ = $7,959, and X₄ = 89 percent. (Round your answers to 4 decimal places.) Burglary Rate $