Objective: In this assignment, you will create, describe and analyze a correlation Analysis Method, this technique is use to quantify the association between two continuous variables; you will be able to choose any variable and compare them as the example proportionate it in your textbook. ASSIGNMENT GUIDELINES (10%): Students will judgmentally evaluate the readings from Chapter 8 and 9 on your textbook and from the article assigned for week 5. The Purpose of Correlation and regression analysis are related in the sense that both deal with relationships among variables. The correlation coefficient is a measure of linear association between two variables. Values of the correlation coefficient are always between -1 and +1. A correlation coefficient of +1 indicates that two variables are perfectly related in a positive linear sense, a correlation coefficient of -1 indicates that two variables are perfectly related in a negative linear sense, and a correlation coefficient of 0 indicates that there is no linear relationship between the two variables. For simple linear regression, the sample correlation coefficient is the square root of the coefficient of determination, with the sign of the correlation coefficient being the same as the sign of b1, the coefficient of x1 in the estimated regression equation. Neither regression nor correlation analyses can be interpreted as establishing cause-and-effect relationships. They can indicate only how or to what extent variables are associated with each other. The correlation coefficient measures only the degree of linear association between two variables. Any conclusions about a cause-and-effect relationship must be based on the judgment of the analyst. You need to develop a 3-4-page paper long including title page and references page reproducing your understanding and capability to relate the readings to Correlation Analysis. Each paper must be typewritten with 12-point font and double-spaced with standard margins. Follow APA Style 7th edition format when referring to the selected articles and include a reference page. EACH PAPER SHOULD INCLUDE THE FOLLOWING: 1. Introduction (25%) Provide a brief synopsis of the meaning (not a description) of each Chapter and articles you read, in your own words. 2. Your Strategies (50%) a. Briefly define and provide examples of dependent and independent variables. b. Discussion and explain the principle of statistical adjustment to lay audience. c. Analyze and define correlation analysis and regression. 3. Conclusion (15%) Briefly summarize your thoughts & conclusion to this assignment and your appraisal of the articles and Chapter you read.How did these articles and Chapters impact your thoughts about Multivariable Methods? How this Correlation Analysis help you in relation to Multivariable Methods. Evaluation will be based on how clearly you respond to the above, in particular: a) The clarity with which you present and analyzed the strategies; b) The depth, scope, and organization of your Correlation Analysis paper; and, c) Your conclusions, including a description of the impact of these articles and Chapters on any Healthcare Organization.