suppose you perform a multiple regression to predict crime rate in a state and includes as indicators of predictions the homeownership rate divorce rate and the personal bankruptcy

A- Write out the regression equation. discuss each of the

variables

B- discuss how you examine the correlations between the

variables. which independent variables may have strong or weak correlations

with the dependent variable? explain how to check the independent variables for

multicollinearity?

C- What is the coefficient of determination? what does the

coefficient of determination say about the relationship?

D- Explain how to conduct a test of hypothesis on each of the

independent variables. Would you consider deleting any of the variables? if so

which one?

E- Explain how to conduct and interpret a global test on the set

of independent variables?

F- Discuss all assumption to use multi regression analysis and

provide methods to validate them. Indicate the consequences if these

assumptions cannot be met and discuss how to overcome violations of some of the

assumption.