Fifty states 2009 Here is a data set on various measures of the 50 United States. The Murder rate is per 100,000, HS Graduation rate is in %, Income is per capita income in dollars, Illiteracy rate is per 1000, and Life Expectancy is in years. Find a regression model for Life Expectancy with three predictor variables by trying all four of the possible models.

a) Which model appears to do the best?

b) Would you leave all three predictors in this model?

c) Does this model mean that by changing the levels of the predictors in this equation, we could affect life expectancy in that state? Explain.

d) Be sure to check the conditions for multiple regression.

What do you conclude?

Life Murder Graduation Income/ State expectancy rate08 Rate cap07 Illiteracy Alabama 74.4 7.6 62% 27557 0.15 Alaska 77.1 4.1. 67 34316 0.09 Arizona 77.5 6.3 59 28088 0.13 Arkansas 75.2 5.7 72 25563 0.14 California 78.2 5.8 68 35352 0.23 Colorado 78.2 3.2 68 34902 0.10 Connecticut 78.7 3.5 75 46021 0.09 Delaware 76.8 6.5 73 34533 0.11 Florida 77.5 6.4 59 32693 0.20 Georgia 75.3 6.6 54 28452 0.17 Hawaii 80.0 1.9 69 33369 0.16 Idaho 77.9 1.5 78 26530 0.11 Illinois 76.4 6.1 78 34290 0.13 Indiana 76.1 5.1 74 28587 0.08 Iowa 78.3 2.5 93 29784 0.07 Kansas 77.3 4 76 31268 0.08