In: Math
| y, Crime Rate (Number of Crimes per 1,000 in population) |
| x1, Total Population (in thousands) |
| x2, Percent of Students Receiving Free Lunch |
| ANOVA | |||||
|---|---|---|---|---|---|
| df | SS | MS | F-Statistic | p-value | |
| Regression | 2 | 55,423 | 27,712 | 25.923 | <0.0001 |
| Residual | 42 | 44,909 | 1,069 | ||
| Total | 44 | 100,332 | |||
| Coefficients | Standard Error | t-Statistic | p-value | ||
| Intercept | 68.398 | 16.492 | 4.147 | 0.0002 | |
| Total Population | -4.743 | 1.660 | -2.857 | 0.0066 | |
| Percent Free Lunch | 1.215 | 0.224 | 5.424 | <0.0001 |
a) By how much does the model estimate the crime rate would change due to a 1% increase in the percentage of students receiving free lunch (assuming all other things are constant)? What about 2.5%?
b) By how much does the model estimate the crime rate would decrease due to a 1,000 person increase in the total population (assuming all other things are constant)?
c) By how much does the model estimate the crime rate would change due to a 5,000 person increase in the total population (assuming all other things are constant)?
d) Use the full model specified above to predict the crime rate for a Denver neighborhood with a total population of 7,000 and 18% of the student population receiving free lunch. (Enter your answer to three decimal places.)
(A) Slope of percent free lunch is 1.215, positive value indicating that it will increase the crime rate.
So, crime rate would increase by 1.215 due to a 1% increase in the percentage of students receiving free lunch
For 2.5%, crime rate increase by 2.5*1.215 = 3.0375
(B) Slope of total population is -4.743, negative value indicating that it will decrease the crime rate
So, crime rate would decrease by 4.743 due to a 1,000 person increase in the total population
(C) Slope of total population is -4.743, negative value indicating that it will decrease the crime rate
and we know that crime rate would decrease by 4.743 due to a 1,000 person increase in the total population
so, decrease due to 5000 people = 5*(4.743) = 23.715 (decrease)
crime rate would decrease by 23.715 due to a 5,000 person increase in the total population
(D) Regression equation is
crime rate = 68.398 - 4.743(population) + 1.215(percent free lunch)
setting population= 7 (thousand) and percent free lunch = 18
we get
crime rate = 68.398 - 4.743(7) + 1.215(18)
= 57.067