This small project will give you a chance to apply what you have learned about simple linear regression and study a problem that you find interesting. In this project, you will perform a statistical analysis to investigate how two quantitative variables (not qualitative variables) are associated and how one influences the other. You can choose what two variables you are interested in studying and will use your own data in order to perform an analysis.

A scatter diagram showing the relationship between the 2 variables being analyzed. Include a graph of the linear regression equation in this plot as well. Be sure to label the axes and the plot. b) Show the tables, determined using Excel toolbars and functions, which display coefficient values, t values for the regression coefficients, and the p-values. c) The residual plot, as shown in class. Be sure to label the axes and the plot. d) The raw data collected http://college.cengage.com/mathematics/brase/understandable_statistics/7e/students/datase ts/mlr/frames/frame.html http://www.stat.ufl.edu/~winner/datasets.html Note:

linear regression data set for bottom