Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year-old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females: If the answer is a whole number, write a whole number. If it has one decimal place, write one decimal place. Otherwise, round off to two decimal places. If the number is more than 999, add a comma. a. Solve for Σx = Blank 1 b. Solve for Σy = Blank 2 c. Solve for Σx2 = Blank 3 d. Solve for Σy2 = Blank 4 e. Solve for Σxy = Blank 5 f. Solve for Pearson's r = Blank 6 g. Solve for the variance = Blank 7 h. Solve for the slope of the simple linear regression line = Blank 8 i. Solve for the y-intercept of the simple linear regression line = Blank 9 j. (Multiple choice) How would you describe the linear relationship of the data? Write only the letter of your answer: Blank 10 a. Very weak linear relationship b. Weak linear relationship c. Moderate linear relationship d. Strong linear relationship e. Very strong linear relationship x (lb) 21 25 23 24 20 15 25 21 17 24 26 22 18 19 y (lb) 125 125 120 125 130 120 145 130 130 130 1

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year-old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females:

If the answer is a whole number, write a whole number. If it has one decimal place, write one decimal place. Otherwise, round off to two decimal places. If the number is more than 999, add a comma.

a. Solve for Σx = Blank 1

b. Solve for Σy = Blank 2

c. Solve for Σx² = Blank 3

d. Solve for Σy² = Blank 4

e. Solve for Σxy = Blank 5

f. Solve for Pearson's r = Blank 6

g. Solve for the variance = Blank 7

h. Solve for the slope of the simple linear regression line = Blank 8

i. Solve for the y-intercept of the simple linear regression line = Blank 9

j. (Multiple choice) How would you describe the linear relationship of the data? Write only the letter of your answer: Blank 10

a. Very weak linear relationship

b. Weak linear relationship