In: Math
A criminologist is interested in the effects of unemployment and policing on murder and has run the following multiple regression:
Summary Output |
|
Regression Statistics |
|
Multiple R |
0.90303 |
R Square |
0.815462 |
Adjusted R Square |
0.762737 |
Standard Error |
5.11041 |
Observations |
10 |
Coefficients |
Standard Error |
t Statistic |
P-value |
|
Intercept |
–23.26309588 |
7.075518018 |
–3.28783 |
0.013342 |
Unemployment rate |
10.27754326 |
2.172859937 |
4.729961 |
0.002133 |
Police per 100,000 |
–0.046737101 |
0.023409765 |
–1.99648 |
0.086065 |
a. What is the Y-intercept? Interpret your results.
b. Which variables are significant at the 0.05 level?
c. What is the predicted homicide rate for a city with an unemployment rate of 5% and 250 police officers per 100,000 population?