Question 140971: Please help with this problem, it has been revised.
A researcher used stepwise regression to create regression models to predict Birth Rate (births per 1,000) using five predictors: Life Exp (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
Birth Rate is the dependent variable
p-values for the coefficients
Nvar Life Exp InfMort Density GDPCap Literate s Adj R2 R2
1 .0000 =(infmort) 6.318=(s) .722=(adjr2) .724=(r2)
2 .0000= (infmort).0000=(literate) 5.334=(s) .802=(adjr2) .805=(r2)
3 .0000 =(infmort).0242=(gdpcap) .0000=(literate) 5.261=(s) .807=(adjr2) .811=(r2)
4 .5764=(lifeexp) .0000=(Infmort) .0311=(gdpcap) .0000=(literate) 5.273=(s) .806=(adjr2) .812= (r2)
5 .5937=(lifeexp) .0000=(infmort) .6289=(density) .0440=(gdpcap) .0000=(literate) 5.287=(s) .805=(adjr2) .812=(r2)
Answer by stanbon(75887)   (Show Source):
You can put this solution on YOUR website! The data gets so messed up in the posted version it is impossible
to tells which data goes in which column. See a good example of
stepwise regression on p.592 of your text; discussion of this data
starts toward the bottom of p. 591.
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Cheers,
Stan H.
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