6.1. Open the World95.sav data file. You will use this data set for Extra SPSS Problems 6.1-6.3. Using People living in cities (urban), People who read (literacy), Infant mortality (babymort), Gross domestic product (gdp_cap), AIDS cases (aids), and daily calorie intake (calories) as independent variables and Average male life expectancy (lifeexpm) as the dependent variable, conduct a linear regression.

Is the regression significant? What is the Adjusted R Square? Is multicollinearity an issue for this analysis, according to the criteria we have been using? Are tolerances high? What does this imply? Which variables are weighted most highly in the regression equation? Which betas are significant?