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MM207 Correlation and Linear Regression Analysis: Examining Relationships in Real-World Data

Analyzes correlation and regression in applied settings.

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    MM207 Unit 8 Chapter 9 Project ROBYN GALINDO 1 MM207 Correlation and Linear Regression Analysis: Examining Relationships in Real - World Data Total points are 4 0 . Points are included with each problem. Included with each section or problem are reference examples and end of section exercises that can be used as a guide. Be sure to show your work in case partial c redit is awarded. To receive full credit, work must be shown if applicable. See the instructions at the end of the project for copying a graph from Excel into a Word document. The technology manual that was packaged with your book has an Excel section that can help with the graphing. Section 9.1 : Correlation 1. Construct a scatter plot using excel for the given data. Determine whether there is a positive linear correlation, negative linear correlation, or no linear correlation. Complete the table and find the correlation coefficient r. (References: example 1 - 4 page s 498 - 500 ; end of section exercises 15 - 22 page s 508 - 509 ) The data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. Absences , x 4 7 10 8 13 6 19 12 9 Final grade , y 99 87 81 83 72 93 56 77 83 a : Scatter plot ( 3 .5 points) 0 20 40 60 80 100 120 0 5 10 15 20 Absences Final Grade b : Type of correlation (positive linear correlation, negative linear correlation, or no linear correlation) (2 .5 points) Negative linear correlation

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