Data set link:

http://users.stat.ufl.edu/~rrandles/sta4210/Rclassnotes/data/textdatasets/KutnerData/Appendix%20C%20Data%20Sets/APPENC02.txt

This data set provides selected county demographic information (CDI)for 440 of the most populous counties in the United States. Each line of the data set has an identification number with a county name and state abbreviation and provides information on 14 variables for a single county. Counties with missing data were deleted from the data set. The information generally pertains to the years 1990 and 1992. The 17 variables are:

Identification Number

County

State

Land Area

Total Population

Percent of Population aged 18-34

Percent of population 65 or older

Number of active physicians(Y)

Number of hospital beds

Total serious crimes

Percent high school graduates

Percent bachelor's degrees

Percent below poverty level

Percent unemployment

Per capita income

Total personal income

Geographic region(1 = Northeast, 2 = Midwest, 3 = South, 4 = West

The goal is to model the number of physicians per 1000 inhabitants, using the other demographic variables.

(1) Plot Number of active physiciansagainst each of Total Population, Total personal income, per capita income , Total serious crimes and pop65plus.

(2)Also plot ln(Number of active physicians) against the others (Total Population, Total personal income, per capita income , Total serious crimes and pop65plus). Does is seem reasonable to take the log?

Please provide R code.