# Why you think intuitively *DO NOT* do any research each of the variables you chose may or may not correlate strongly with each other.

1) Choose two variables from the food categories, two variables from the health & physical activity category, and two variables from the socioeconomic characteristics category. You are choosing six variables. At least four of the six must be variables that are a percentage or a rate per 1,000, as opposed to a count of items.

2) Find the name and descriptions of your variables in the Food Environment Atlas Resources: Excel Data and Documentation Download

3) Write a brief document (50 WORDS) in grammatically correct English that includes

*The Selected State (Arizona)*

4. Your selected variables which is to include the following five items: variable name, variable code, definition, category code, and whether your data is expressed in numbers, percentages, percent change, rate per 1000, etc.

*As an example*

Variable code = LACCESS_POP10

Definition = Number of people in a county living more than 1 mile from a supermarket …

Category code = ACCESS

Expressed in = number.

5. Why you think intuitively *DO NOT* do any research each of the variables you chose may or may not correlate strongly with each other. For example, do you think number of fast-food restaurants correlates with adult obesity rates? Remember: At this point you do not know the statistical answer.

*Note: That this is data by county, and some variables are percents or rates per 1000 population, some variables are percent changes, and other variables are counts. Most states have a few counties with a really large population and therefore a really large count of whatever variable is being measured. It may not make sense to ask if the number of fast-food restaurants correlates with adult obesity rates percentage; it may make more sense to ask if the number of fast-food restaurants per 1000 population correlates with adult obesity rates percentage*

*SEE RESOURCES, LINKS, AND INFORMATION REGARDING THIS ASSIGNMENT BELOW*

*This will take you to a page that includes the following* =======================================

Data Set

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