mdm12Section3_R_OddSolutionsFinal

Mdm12Section3_R_OddS - Q1 Q5 Q3 Q7-13 CHAPTER 3 Review of Key Concepts pp 212213 Solutions to Odd Number Problems 1 From the scatter plots you can

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Q1 Q3 Q5 Q7-13 CHAPTER 3 Review of Key Concepts, pp. 212–213 Solutions to Odd Number Problems 1. From the scatter plots, you can obtain the associated ordered pairs. i) x 2 2 6 6 7.5 9 9.9 11.5 y 3 7 3 6 10.5 13.5 10.5 9.5 This is a moderate positive linear correlation, which is consistent with the correlation coefficient since r = 0.6862. ii) x 1 2.5 6.5 6.5 8.1 11.4 12.2 14.1 y 10.7 8.5 6.1 8.2 6.8 6 3 3.8 This is a strong negative correlation, which is consistent with the correlation coefficient since r = –0.9188. iii) x 3 4 6 8 8.8 9.1 12 14 y 3.2 6.5 9 3 6.1 9.5 3 6.5 There is no correlation, which is consistent with the correlation coefficient since r = 0.01 556. Top
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3. Hours Per Week, x Grade Average (%), y x 2 y 2 xy 12 70 144 4900 840 10 85 100 7225 850 5 82 25 6724 410 3 88 9 7744 264 15 65 225 4225 975 16 75 256 5625 1200 8 68 64 4624 544 Sum x = 69 y = 533 x 2 =823 y 2 =41 067 xy =5083 9.8571 x = 76.143 y = r = –0.6505 2 7(5083) (69)(533) 7(823) (69) 1.20 a = =− 76.1429 ( 1.196)(9.8571) 87.9 b = The equation generated for the line of best fit is y = –1.20 x + 87.9. Top
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5. a) b) y = –5.24 x 2 + 10.1x + 0.0095 r 2 = 0.9997 c) The maximum height is 4.9 m when t = 0.97 s.
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This note was uploaded on 01/23/2012 for the course MATHS MDM-01 taught by Professor Mr.m during the Spring '10 term at Seneca.

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Mdm12Section3_R_OddS - Q1 Q5 Q3 Q7-13 CHAPTER 3 Review of Key Concepts pp 212213 Solutions to Odd Number Problems 1 From the scatter plots you can

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