SOLUTION: Textbook- Applied Statistics ISBN-13: 978-0-07-296693-0 13.30A researcher used stepwise regression to create regression models to predict BirthRate (births per 1,000) using five

Question 188119: Textbook- Applied Statistics
ISBN-13: 978-0-07-296693-0
13.30A 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
Nvar LifeExp InfMort Density GDPCap Literate s Adj R2 R2
1 .0000 6.318 .722 .724
2 .0000 .0000 .334 .802 .805
3 .0000 .0242 .0000 .261 .807 .811
4 .5764 .0000 .0311 .0000 .273 .806 .812
5 .5937 .0000 .6289 .0440 .0000 .287 .805 .812

Answer by stanbon(75887) (Show Source): You can put this solution on YOUR website!
13.30A 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
Nvar LifeExp InfMort Density GDPCap Literate s Adj R2 R2
1... .0000... 6.318.. 0.7220.. 0.7240
2... .0000.. .0000 ...0.3340.. 0.8020.. 0.805
3... .0000.. .0242.... .0000.. 0.2610.. 0.807.. .811
4... .5764.. .0000.... .0311...0.0000.. 0.273.. .806 .812
5 ....5937.. .0000.... .6289.. 0.0440.. .0000.. .287 .805 .812
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The discussion for this is the last paragraph on page 591 of your text.
Since the discussion could be wide ranging I will not attempt a
narrative response.
------------------
Cheers,
Stan H.

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