How to find the linear correlation coefficient on statcrunch

In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report.

To produce a successful project you must:

Read and follow the instructions carefully.
Give yourself sufficient time to work on the project.
Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.
Use StatCrunch to complete all calculations and graphs.
Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.
Submit a professional report that is typed and formatted and organized well
Submit your project via Canvas as a PDF or Word file.
PROJECT INSTRUCTIONS
For this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:

Introduce the data set and explain why you chose it.
Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.
Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model.
Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.
Report the correlation coefficient.
Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.
Report the linear model using correct notation.
Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.
Summarize your findings and draw a conclusion.