Stats week 10

# Stats week 10 - in earnings is accounted for by sales. e. b

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Sarah Anderson Stats week 10 Exercises 2, 4 (page 463 – 464) Exercises 8, 10 (page 466) Exercises 22, (page 479) Exercises 28, (pages 482 – 483) Exercise 32 (page 485 – 486) Exercise 34 2.) 4.) 8.) 10.) 14 Data(3,15),(3,12),(4,13),(4,11),(5,13),(6,7)…n=8 a. Linear: y=-1.742515x+19.11976 r=-.8908085 b. X=7 then Y = 6.922155 15.) a. E(x-X) (Y-Y) = 44.6, Sx = 2.726. Sy = 2.011 r= 44.6 (10-1)(2.726)(2.011) = .904 b= .904 (2.011) =.0667 (2.726) a= 7.5 – 677(9.1) = .0667 b. Y = 1.333 + .667 (6) – 5.335

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17.) b. E(X-X)(Y-Y) = 629.64, Sx =26.17, Sy= 3.248 r= 629.64/(12-1)(27.17)(3.248) = .6734 c. r^2 = (.673)^2 = .4529 d. A strong positive association between the variables. About 45 percent of the variation
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Unformatted text preview: in earnings is accounted for by sales. e. b =.6734(3.248/26.170) = .0836 a = 64.1/12 - .0836 (501.10/12) = 1.8507 f. Y = 1.8507 + .0836(50.0) = 6.0307 (\$millions) Data:(3,15),(3,12),(4,13),(4,11),(5,13),(6,7) n 8 Linear: y =-1.742515x +19.11976 r =-.8908085 y = -1.742515*7 +19.11976 = -12.197605+19.11976 = 6.922155 23.)sq. Root 6.667/10-2 =.913 b. Y + 1.826 28.) 29.) a. 4.2939, 6.3721 b. 2.9854, 7.6806 32.) 33.) a. r^2 =1000/1500 =.667 b. .82, found by sq root of .667 c. 6.20, found by S y*x = sq rt. 500/ 15-2 34.) 10 20 30 40 50 60 70 80 90 100 2 4 6 8 10 12 14 Earnings...
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## Stats week 10 - in earnings is accounted for by sales. e. b

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