A researcher used stepwise regression to create regression models to predict BirthRate (births per 1,000) using five predictors: LifeExp (life expectancy in years), InfMort (infant mortality rate), Density (population density per square kilometer), GDPCap (Gross Domestic Product per capita), and Literate (literacy percent). Interpret these results. Regression Analysis-Stepwise Selection (best model of each size) 153 observations BirthRate is the dependent variable p-values for the coefficients LifeExp Nvar InfMort Density GDPCap Literate Adj R2 R2 S 1 .0000 6.318 .722 .724 .0000 .0000 5.334 .802 .805 .0000 .0242 .0000 5.261 .807 .811 .5764 .0000 .0311 .0000 5.273 .806 .812 .5937 .0000 .6289 .0440 .0000 5.287 .805 .812 (c) Which two variables appear to be the most significant? (You may select more than one answer. Click the box with a check mark for the correct answer and double click to empty the box for the wrong answer.) ? LifeExp ? InfMort ? Density ? GDPCap ? Literate