1. Suppose you have data on the number of civil disorders (riot, protests, etc.) in five cities and the unemployment rate.

Using the following formulas to calculate the regression model:

   Unemployment	     Disorders
	(X)		(Y)		
1.	22		25		
2.	20		13		
3.	10		10		
4. 	15		5		
5.	9		0		

Interprete the results: what does b mean, what does a mean?

2. If you had another city with an unemployment rate of 18 percent, what number of disorders would you predict that this city would have based on the regression model you calculated in number 1?

3. Using the same data, compute the pearson correlation between unemployment and disorders. How would you evaluate this relationship--is it strong, weak, or somewhere in between?

4. Using the data set riots.dta (located in my public space K:\nd.edu\user19\dmyers\Public\) calculate both correlation and regression models using stataquest. Thess data include the number of riots in a city from 1964-1971 (riots), the percentage of the population that was non-white in that city (nwpopp), and the raw number of non-whites living in that city (nwpop). First test for the relationship between the number of riots and nwpopp. Then run the same tests for nwpop. Report your results and interpret. Which variable predicts rioting better, nwpopp or nwpop?