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A data set is given below x    1          1         4         5         6           6 y   5.3      6.6      4.8       3.2      2.3        2.6 a) Comment on the type of relation that appears to exist between x and y. Choose the correct answer listed below. There appears to be __________________(a linear negative, a nonlinear, no, a constant, or a linear positive) relationship.   b) Given that x = 3.8333, sx = 2.3166, y = 4.1333, sy = 1.7014, and r = -0.9421, determine the least-squares regression line.   y = ______x + (___) Round to 3 decimal places

A data set is given below x    1          1         4         5         6           6 y   5.3      6.6      4.8       3.2      2.3        2.6 a) Comment on the type of relation that appears to exist between x and y. Choose the correct answer listed below. There appears to be __________________(a linear negative, a nonlinear, no, a constant, or a linear positive) relationship.   b) Given that x = 3.8333, sx = 2.3166, y = 4.1333, sy = 1.7014, and r = -0.9421, determine the least-squares regression line.   y = ______x + (___) Round to 3 decimal places

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.3: Modeling Data With Linear Functions
Problem 5E: Price of Amazons Kindle The following table shows the price of Amazons Kindle 2 e-book reader. It is...
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A data set is given below

x    1          1         4         5         6           6

y   5.3      6.6      4.8       3.2      2.3        2.6

a) Comment on the type of relation that appears to exist between x and y. Choose the correct answer listed below.

There appears to be __________________(a linear negative, a nonlinear, no, a constant, or a linear positive) relationship.

 

b) Given that x = 3.8333, sx = 2.3166, y = 4.1333, sy = 1.7014, and r = -0.9421, determine the least-squares regression line.  

y = ______x + (___)

Round to 3 decimal places

 

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