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A company researched the number of months an employee has been working on a particular assembly line and the average number of assembly errors made per week. The data covered the first year an employee worked on the assembly line. The table and scatter plot displays the data. Months (x) Errors per week (y) 1 2 3 18 15 13 12 4 5 35 A) f(x) = -x +³5 B) f(x) = -x + 13 c) f(x) = -x + ² D) f(x) = -x + 17 5 10 40. Using the points (2, 15) and (10, 5) write the equation of a linear model for the data. 6 9 24 21 -18 15 -12 9 -6- y B) f(x)= 7 8 8 6 5 91 ) = - ²x + 2/1/20 D) f(x) = -x + 7/4/2 3 9 10 11 12 7 5 5 4 5 6 41. Using the equation in the previous problem, what does the model predict the number of errors made per week when the employee has worked on the assembly line for 13 months? A) 2.25 B) 2.75 C) 3 D) 1.25 E) 1.75 42. Using the points (1, 16) and (6, 10) write the equation of a linear model for the data. A) f(x) = -x + 97 6 C) f(x) = -x +36 4 8 9 10 11 12

A company researched the number of months an employee has been working on a particular assembly line and the average number of assembly errors made per week. The data covered the first year an employee worked on the assembly line. The table and scatter plot displays the data. Months (x) Errors per week (y) 1 2 3 18 15 13 12 4 5 35 A) f(x) = -x +³5 B) f(x) = -x + 13 c) f(x) = -x + ² D) f(x) = -x + 17 5 10 40. Using the points (2, 15) and (10, 5) write the equation of a linear model for the data. 6 9 24 21 -18 15 -12 9 -6- y B) f(x)= 7 8 8 6 5 91 ) = - ²x + 2/1/20 D) f(x) = -x + 7/4/2 3 9 10 11 12 7 5 5 4 5 6 41. Using the equation in the previous problem, what does the model predict the number of errors made per week when the employee has worked on the assembly line for 13 months? A) 2.25 B) 2.75 C) 3 D) 1.25 E) 1.75 42. Using the points (1, 16) and (6, 10) write the equation of a linear model for the data. A) f(x) = -x + 97 6 C) f(x) = -x +36 4 8 9 10 11 12

MATLAB: An Introduction with Applications
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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40,41,42
A company researched the number of months an employee has been working on a particular assembly line and the average number of assembly errors made per week. The data covered the first year an employee worked on the assembly line. The table and scatter plot displays the data. Months (x) Errors per week (y) 1 3 5 18 15 13 12 10 2 5 A) f(x) ===x+ 40. Using the points (2, 15) and (10, 5) write the equation of a linear model for the data. +35 B) f(x) = -x + 13 4 83 C) f(x) = -x +3³ D) f(x) = -x + 17 6 9 86 24 21 -18 15 -12 y 7 8 8 6 9 7 74 $ 6 10 11 12 5 5 7 8 41. Using the equation in the previous problem, what does the model predict the number of errors made per week when the employee has worked on the assembly line for 13 months? A) 2.25 B) 2.75 C) 3 D) 1.25 E) 1.75 42. Using the points (1, 16) and (6, 10) write the equation of a linear model for the data. 5 97 A) f(x) = -³x+²/7/ B) f(x) = -³x+²/1 C) f(x) = -x + D) f(x) = -x + 4 9 10 11 12 X
Transcribed Image Text:A company researched the number of months an employee has been working on a particular assembly line and the average number of assembly errors made per week. The data covered the first year an employee worked on the assembly line. The table and scatter plot displays the data. Months (x) Errors per week (y) 1 3 5 18 15 13 12 10 2 5 A) f(x) ===x+ 40. Using the points (2, 15) and (10, 5) write the equation of a linear model for the data. +35 B) f(x) = -x + 13 4 83 C) f(x) = -x +3³ D) f(x) = -x + 17 6 9 86 24 21 -18 15 -12 y 7 8 8 6 9 7 74 $ 6 10 11 12 5 5 7 8 41. Using the equation in the previous problem, what does the model predict the number of errors made per week when the employee has worked on the assembly line for 13 months? A) 2.25 B) 2.75 C) 3 D) 1.25 E) 1.75 42. Using the points (1, 16) and (6, 10) write the equation of a linear model for the data. 5 97 A) f(x) = -³x+²/7/ B) f(x) = -³x+²/1 C) f(x) = -x + D) f(x) = -x + 4 9 10 11 12 X
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