Reference no: EM132853030
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 Coefficien
tIntercept 4,411.9020
AgeMed -27.580
Bankrupt 20.0336
FedSpend -0.0258
HSGrad% -25.1354
(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.)
yˆ = ______+______ AgeMed +______ Bankrupt +______ FedSpend ______+ _______HSGrad%
(b-1) The 2005 state-by-state crime rate per 100,000
Yes- decreases by about 28 as the state median age increases. Correct
(b-2) The 2005 state-by-state crime rate per 100,000
Yes- increases by about 20 for every 1,000 new bankruptcies filed. Correct
(b-3) The 2005 state-by-state crime rate per 100,000
Yes- decreases by 0.0258 for each dollar increase in federal funding per person. Correct
(b-4) The 2005 state-by-state crime rate per 100,000
Yes- decreases by about 25 for each 1% increase in high school graduations. Correct
(c) Would the intercept seem to have meaning in this regression? No Correct
(d) Make a prediction for Burglary when X1 = 30 years, X2 = 6.6 bankruptcies per 1,000, X3 = $6,498, and X4 = 60 percent. (Round your answers to 4 decimal places.)
Burglary Rate _____