STAT 5301 - Assignment #6 Due Monday May 9, 2016 at 5:30pm This Assignment will give you an opportunity to apply some of the techniques you have learned in this course. You will need to get a set of data to work on. You can get data from your job or another class, but these data must meet the criteria described below. The Journal on Statistical Education is a good source for data. You can find these data at the URL: http://www.amstat.org/publications/jse/jse_data_archive.htm You will need to click on the link \"Data Archive\" to see the list of available data. Criteria for Data: Choose a data set with the following characteristics. - There are more than 120 observations There are at least 3 continuous variables Be sure to get an understanding of the variables in your data set. As you answer the questions below, please be sure to make your responses relevant to what you know about the nature of these variables. Use SAS to answer the questions below. Write-up your results in a pseudo \"Research Paper\" format which means use Headers and Subheaders. 1. Describe your data (include a reference) 2. Use a graphical display (e.g. a histogram, boxplot, etc) to describe the observations of two of your chosen variables? What can you say about each of these variables based on their graphical display? 3. Use an if-then-else statement to turn two of your continuous variables into categorical variables. Display a Proc Means of the Original Variables and Proc Freq of the newly created variables. (One of the \"new\" categorical variables should be dichotomous and the other should have more than two categories) 4. Draw a scatter plot of two variables? What can you say about this plot? 5. Provide a summary statistics report for each of the three variables? (Measures of Center and Spread) Comment on these results. 6. Based on the principle of linear regression, find the equation of the least squares line for one variable as a function of another? Present at least one diagnostic connected to a linear regression assumption. Interpret the regression coefficients. 7. Perform one hypothesis test on a mean from one of your variables. 8. Perform an ANOVA. 9. Create for class on May 9th a brief PowerPoint Presentation (approx. 5 minutes) describing your data and presenting at least one interesting fact