IMPORTANT: I will need the outline TODAY OF WHAT YOU'RE GOING TO WRITE. Outline SHOULD INCLUDE three sources or your three subtopics for analysis (please send me an outline before you begin, just a one page paper that has the 3 subtopics you will be talking about and the statistical tools you will be using, remember your 3 subtopics can be the statistical tools as well).I will also send you an EXAMPLE ESSAY OF WHAT THE ESSAY SHOULD LOOK LIKE.PAPER REQUIREMENTS: A minimum of 5 full pages of writing (NOT INCLUDING COVER PAGE AND BIBLIOGRAPHY 7 PAGES IN TOTAL WITH THESE IS THE MINIMUM), double spaced, 12 font, one-inch margins, will be the required format for this writing. The papers must include a cover page (Page 1) , introduction (Page 2), body(pages 3,4,5), conclusion with two suggested areas of further research (Page 6), and a bibliography with at least three sources (Page 7). The cover page (that contains a 3-4 sentence abstract of the paper), and the bibliography, do not count in the total of your 5 pages of writing. Each source in the bibliography must include: Human Author; Title; Publisher or Web Address; Year; and the “specific” Page Numbers that you referenced. Graphs and diagrams are optional. Any idea/statement that you directly quote, or paraphrase, must be cited as follows: (Human Author, pg. #).Further Explanation:Choose a topic and remember there’s no topic that’s off limits. You can do a paper about a company you would like to start someday, or anything else that uses statistical tools. This paper must include a MINIMUM of 2 statistical tools from the following (you can use more than 2 tools):

Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions. Scenario According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF). As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work. Concepts Being Studied Correlation and regression Creating scatterplots Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic You are given a spreadsheet that contains the following information: Magnitude measured on the Richter scale Depth in km Using the spreadsheet, you will answer the problems below in a PowerPoint presentation. What to Submit The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above. Slide 1: Title slide Slide 2: Introduce your scenario and data set including the variables provided. Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot. Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using ? = 0.05. Include an explanation on how you found those values. Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain. Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation. Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units. Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario. Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.