1. State one general problem which the data are suitable for analyzing. Assume that the given data (below) are not the only data being used in addressing the general problem, but that the given data were chosen to answer some specific hypotheses (part III below) to help in solving the general problem.
2. For each variable in the given data set:
   1. Provide an operational definition of the variable. In your definition demonstrate that you understand how the data were originally collected and what, if any, data manipulation has taken place to get the data into their present form.
   2. Specify the level of measurement of each variable as precisely as possible.
3. Identify two (2) different statistical tests for which the data presented (or a subset of the data which you must define) are suitable. If it seems impossible to identify two, then identify one test for which the data are suitable and explain why the data are not suited for any other test we studied.

Homes:Each observation is a recently sold home as reported by area real estate agents.

Home	Selling Price ($)	Size (square feet)
1.	190,000	1,000
2.	220,000	1,300
3.	210,000	1,600
4.	240,000	1,800
5.	250,000	1,900
6.	260,000	2,000
7.	300,000	2,200
8.	280,000	2,400
9.	310,000	2,800
10.	340,000	3,000