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 4,579.5465
AgeMed -27.292 Bankrupt 19.5612
FedSpend -0.0264
HSGrad% -27.5839
(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
decreases by about 27 as the state median age increases
increases by about 27 as the state median age increases.
(b-2) The 2005 state-by-state crime rate per 100,000
increases by about 20 for every 1,000 new bankruptcies filed
decreases by about 20 for every 1,000 new bankruptcies filed.
(b-3) The 2005 state-by-state crime rate per 100,000
decreases by 0.0264 for each dollar increase in federal funding per
person
increases by 0.0264 for each dollar increase in federal funding per
person.
(b-4) The 2005 state-by-state crime rate per 100,000
increases by about 28 for each 1% increase in high school
graduations
decreases by about 28 for each 1% increase in high school
graduations.
c) Would the intercept seem to have meaning in this
regression?
Yes
No
(d) Make a prediction for Burglary when X1 = 35 years, X2 = 5.7
bankruptcies per 1,000, X3 = $5,864, and X4 = 84 percent.
Burglary Rate=
a)
yˆ = 4,579.5465-27.292* AgeMed +19.5612*Bankrupt -0.0264*FedSpend -27.5839*HSGrad%
b1)
The 2005 state-by-state crime rate per 100,000
decreases by about 27 as the state median age increases
b2)
The 2005 state-by-state crime rate per 100,000
increases by about 20 for every 1,000 new bankruptcies filed
b3)
The 2005 state-by-state crime rate per 100,000
decreases by 0.0264 for each dollar increase in federal funding per
person
b4)
The 2005 state-by-state crime rate per 100,000
decreases by about 28 for each 1% increase in high school
graduations
c)
Yes, intercept is the mean value of yˆ when Independent variables are equal to 0
d)
yˆ = 4,579.5465-27.292* AgeMed +19.5612*Bankrupt -0.0264*FedSpend -27.5839*HSGrad%
X1 = 35 years, X2 = 5.7 bankruptcies per 1,000, X3 = $5,864, and X4 = 84 percent
yˆ = 4,579.5465-27.292* 35 +19.5612*5.7 -0.0264*5864 -27.5839*84
Burglary Rate = yˆ = 1263.968
If X4 = 84 percent = 0.84
Burglary Rate = yˆ = 3557.845
A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used...
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 4,304.4610 AgeMed -26.903 Bankrupt 20.8921 FedSpend -0.0312 HSGrad% -29.1815 (a) Write the fitted regression equation. (Round your answers to 4 decimal...
A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies, X3 = 2004 federal expenditures per capita (a leading predictor), and X4 = 2005 high school graduation percentage. (a) Fill in the values in the table given here for a two-tailed test at a = 0.01 with 33 d.f. (Negative values should be indicated by a minus...
A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies, X3 = 2004 federal expenditures per capita (a leading predictor), and X4 = 2005 high school graduation percentage. (a) Fill in the values in the table given here for a two-tailed test at α = 0.01 with 31 d.f. (Negative values should be indicated by a minus...
In 2011, the mean rate of violent crime (per 100,000 people) for the 24 states west of the Mississippi River was 406. The standard deviation was 177. Assume that the distribution of violent crime rates is approximately unimodal and symmetric. Please show work. a) Between what two values would you expect to find about 95% of the rates? b) Between what two values would you expect to find about 68% of the violent crime rates? c) If a western state...
Sociology/Criminology/Economics: Records
comparing unemployment rates and property crime rates (per 1,000)
were gathered in a state for the years 1975 - 2005 (n =
31). Below is the scatterplot, regression line, and corresponding
statistics for these 31 years.
Property Crime -vs- Unemployment
x = Unemployment Rate (in %)
y = Property Crime Rate (in crimes per 1,000 people)
correlation coefficient:
r = 0.859
regression equation:
ŷ = 2.86x + 24.9
sample size:
n = 31
Answer the following questions...
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