Select two variables that might be related, such as the number of hours a student watches TV and the number of credits the student has, or a baseball player's salary and the number of home runs per year the player scores. You will need to get at least 15 pairs of data for your variables either by sampling 15 people, or using a web site to obtain 15 pairs of data. (Some web sites that contain statistics are: www.census.gov , www.sportstats.com, http://nces.ed.gov/programs/digest/, and www.fedstats.gov.

· Write a thorough statement as to the variables used and the reason you think these variables may or may not be related.

· Clearly identify the explanatory and response variables.

· Clearly define the population from which the sample data is being drawn.

· Specifically state how the sample was selected.

· Report the raw data.

· Draw a scatter plot for the data values. (Excel is a great tool for entering data and plotting a scatter plot.)

· Write a clear and concise statement analyzing the scatter plot.

· Compute the value of the correlation coefficient (r). (This computation may be done using your calculator or computer.)

· Find the equation of the regression line and draw it on the scatter plot. (Again, Excel is a very useful tool in calculating the linear regression equation and drawing it on the scatter plot. For help with this, click the help menu on Excel and ask about Linear Regression.)

· Summarize the overall results.