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The LifeCycleSavings data frame consists of 50 countries from all regions of the world and

includes the following 5 variables: (a) sr (numeric aggregate personal savings rate); (b) pop15 (numeric % population under 15 years); (c) pop75 (numeric % population over 75 years); (d) dpi (numeric real per-capita disposable income); and (e) ddpi (numeric % growth rate of dpi). (Recall that data frames such as LifeCycleSavings can be accessed simply by entering the file name at the R prompt > in the Console. For more information about this particular data frame, enter ?LifeCycleSavings at the >.

Subset the LifeCycleSavings data so that only those observations for which dpi > 700 remain. (In other words, you will analyze a set of data that includes only those nations for which the disposable per-capita income (dpi) exceeds 700.) Once you have done this, regress the dependent variable sr (aggregate personal savings rate) on 4 independent variables: (a) pop15 (% population under 15); (b) pop75 (% population over 75 years); (c) dpi (disposable per-capita income); and (d) ddpi (% change in dpi). What is the adjusted r-square?

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