A regression model to predict Y, the state-by-state2005 burglary crime rate per 100,000 people, used the followingfour state predictors: X₁ = median age in 2005,X₂ = number of 2005 bankruptcies per 1,000people, X₃ = 2004 federal expenditures percapita, and X₄ = 2005 high school graduationpercentage.

Predictor	Coefficient
  Intercept	4,286.0597  Â
  AgeMed	-26.986  Â
  Bankrupt	18.5775  Â
  FedSpend	-0.0280  Â
  HSGrad%	-28.5624  Â

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

yˆy^ =  +  AgeMed+  Bankrupt +  FedSpend+  HSGrad%

(b-1) The 2005 state-by-state crime rate per100,000

	increases by about 27 as the state median age increases.
	decreases by about 27 as the state median age increases.

(b-2) The 2005 state-by-state crime rate per100,000    

	decreases by about 19 for every 1,000 new bankruptciesfiled.
	increases by about 19 for every 1,000 new bankruptciesfiled.

(b-3) The 2005 state-by-state crime rate per100,000          

	decreases by 0.028 for each dollar increase in federal fundingper person.
	increases by 0.028 for each dollar increase in federal fundingper person.

(b-4) The 2005 state-by-state crime rate per100,000      

	decreases by about 29 for each 1% increase in high schoolgraduations.
	increases by about 29 for each 1% increase in high schoolgraduations.

(c) Would the intercept seem to have meaning inthis regression?

	No
	Yes

(d) Make a prediction for Burglarywhen X₁= 34 years, X₂= 7.2bankruptcies per 1,000, X₃= $5,044,and X₄= 84 percent.

Burglary Rate

rev: 09_26_2016_QC_CS-62964, 09_20_2017_QC_CS-1011