JWitte_Module05_WeeklyAssignment_110516.docx

JWitte_Module05_WeeklyAssignment_110516.docx

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Name: Jordan 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 = 0.9241 *Please see Excel document Instructor Comments: 2. Based on the linear correlation coefficient r , is this a good model? Explain. Solution: Based on the linear correlation coefficient r, this is a good model because the number 0.9241 indicates that there is a strong relationship between the hours of preparation along with the score a student is most likely to score. 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 score is 69.51 Instructor Comments: 4. Find the standard error e s . Use formula or MS Excel. Solution: Y = 5.47 X = 1.44 Instructor Comments:
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5. Find the 99% prediction interval for the test score of a person who spent 7 hours preparing for the
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