In problem 13.5, crime and population data were presented for each of 10 cities. The data are reproduced here. Take the three crime variables as the dependent variables (one at a time) and a. Find the...

In problem 13.5, crime and population data were presented for each of 10 cities. The data are reproduced here.

Take the three crime variables as the dependent variables (one at a time) and

a. Find the multiple regression equations (unstandardized) with growth and urbanization as independent variables.

b. Make a prediction for each crime variable for a city with a 5% growth rate and a population that is 90% urbanized.

c. Compute beta-weights for each independent variable in each equation and compare their relative effect on each dependent.

d. Compute R and R²
for each crime variable, using the population variables as independent variables.

e. Write a paragraph summarizing your findings.

problem 13.5

Problem 13.4 presented data on 10 electoral districts. The information is reproduced here.

Take voter turnout as the dependent variable and

a. Find the multiple regression equations (unstandardized).

b. What turnout would you expect for a district in which 0% of the voters were working class and 5% were unemployed?

c. Compute beta-weights for each independent variable and compare their relative effect on turnout. Which is the more important factor?

d. Compute R and R²
_.

e. Write a paragraph summarizing your findings