EWitte_Module05_WeeklyAssignment_11516.docx

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Name:__Elizabeth Witte____________________________________ Module 5 Homework Assignment The paired data below consists of test scores and hours of preparation for 5 randomly selected students. Use this data set to answer the questions below: x Hours of preparation 5 2 9 6 10 y Test score 64 48 72 73 80 1. Use the given data to find the correlation coefficient r , regression equation and scatter plot in MS Excel. Solution: r= .9241 Please see the attached document for the scatter plot Instructor Comments: 2. Based on the linear correlation coefficient r , is this a good model? Explain. Solution: This linear correlation coefficient is a good model because r= .9241 that shows a strong bond between the hours of preparation and a score a student will receive. Instructor Comments: 3. What is the best predicted test score for a student who spent 7 hours preparing for the test? Solution: y = 3.5243x + 44.845 y = 69.5151 The best predicted scope for a student will receive, that spent 7 hours preparing for, will obtain a 69.51.
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