Question
A regression model to predict Y , the state-by-state burglary crime rate per 100,000 people, used the following four state predictors: X 1 = median
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 | 4,090.3389 |
AgeMed | -28.673 |
Bankrupt | 20.2148 |
FedSpend | -0.0347 |
HSGrad% | -29.3008 |
(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.)
(b-1) The state-by-state crime rate per 100,000 multiple choice 1
- decreases by about 29 as the state median age increases.
- increases by about 29 as the state median age increases.
(b-2) The state-by-state crime rate per 100,000 multiple choice 2
- decreases by about 20 for every 1,000 new bankruptcies filed.
- increases by about 20 for every 1,000 new bankruptcies filed.
(b-3) The state-by-state crime rate per 100,000 multiple choice 3
- decreases by 0.0347 for each dollar increase in federal funding per person.
- increases by 0.0347 for each dollar increase in federal funding per person.
(b-4) The state-by-state crime rate per 100,000 multiple choice 4
- increases by about 29 for each 1% increase in high school graduations.
- decreases by about 29 for each 1% increase in high school graduations.
(c) Would the intercept seem to have meaning in this regression? multiple choice 5
- Yes
- No
(d) Make a prediction for Burglary when X1 = 36 years, X2 = 6.7 bankruptcies per 1,000, X3 = $7,821, and X4 = 64 percent. (Round your answers to 4 decimal places.)
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