The Data

Data collected on n = 109 countries in 1995. Data collected on k = 25 variables.

The variables

1.Population Size (in 1000s)

2.Density = Number of people/Sq kilometer

3.Urban = percentage of population living in cities

4.Religion

5.lifeexpf = Average female life expectancy

6.lifeexpm = Average male life expectancy

7.literacy = % of population who read

8.pop_inc = % increase in popn size (1995)

9.babymort = Infant mortality (deaths per 1000)

10.gdp_cap = Gross domestic product/capita

11.Region = Region or economic group

12.calories = Daily calorie intake.

13.aids = Number of aids cases

14.birth_rt = Birth rate per 1000 people

15.death_rt = death rate per 1000 people

16.aids_rt = Number of aids cases/100000 people

17.log_gdp = log10(gdp_cap)

18.log_aidsr = log10(aids_rt)

19.b_to_d =birth to death ratio

20.fertility = average number of children in family

21.log_pop = log10(population)

22.cropgrow = ??

23.lit_male = % of males who can read

24.lit_fema = % of females who can read

25.Climate = predominant climate

Objective of assignment

1.Explore the data using multiple Linear Regression

2.Select one (or several) interesting dependent variables

3.For each dependent variable, select a set of independent variables. Perform multiple linear regression.

4.Interpret the results