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A study using body mass index (EMI)-an index af obesity-as a function of income (S thousands) reported the following data in 2016. Income 15 20.5 30 40 60 75 31.1 29.4 27.5 27.2 26.7 19.9 BMI A USE SALT Determine which variable is the independent variable and which is the dependent variable The independent variable is-Soloct- Vand the dependent variable is-Seloct-V Calculate the comelation coefficient r. (Round your answer to four dedmal places.) r- O Calculate the ecuation of the regression line. (Round your numerical values to two decimal places.) y- Plat the points and the line an a scatterplot. BMI BMI BMI BMI s0 32 32 80 30 30 G0 28 28 60 26 26 40 24 24 22 40 22 20 20 20 20 Income Income 80 Income 32 w .. Income 80 20 22 24 26 28 30 32 20 30 40 50 GO 70 20 22 24 26 28 30 20 30 40 50 G0 70 Does the line provide a good description of the data? O Yes, the scatterplot shows a linear pattem, so the line provides a good description of the data.

A study using body mass index (EMI)-an index af obesity-as a function of income (S thousands) reported the following data in 2016. Income 15 20.5 30 40 60 75 31.1 29.4 27.5 27.2 26.7 19.9 BMI A USE SALT Determine which variable is the independent variable and which is the dependent variable The independent variable is-Soloct- Vand the dependent variable is-Seloct-V Calculate the comelation coefficient r. (Round your answer to four dedmal places.) r- O Calculate the ecuation of the regression line. (Round your numerical values to two decimal places.) y- Plat the points and the line an a scatterplot. BMI BMI BMI BMI s0 32 32 80 30 30 G0 28 28 60 26 26 40 24 24 22 40 22 20 20 20 20 Income Income 80 Income 32 w .. Income 80 20 22 24 26 28 30 32 20 30 40 50 GO 70 20 22 24 26 28 30 20 30 40 50 G0 70 Does the line provide a good description of the data? O Yes, the scatterplot shows a linear pattem, so the line provides a good description of the data.

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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The independent variable is ---Select--- income or BMI and the dependent variable is ---Select--- income or BMI.

A study using body mass index (EMI)-an index of obesity-as a function of income ($ thousands) reported the following data in 2016. Income 15 20.5 30 40 60 75 EMI 31.1 29.4 27.5 27.2 26.7 19.9 A USE SALT Determine whidch variable is the independent variable and which is the dependent variable The independent variable is-Sclect- V and the dependent variable is -Soloct- V. Calculate the corelation coefficient r. (Round your answer to four dedmal places.) r- O Calculate the equation of the regression line. (Round your numerical values to two decimal places.) y - Plot the points and the line on a scatterplot. BMI BMI BMI BMI 32 80 32 80 30 30 60 28 28 60 26 26 40 24 24 40 22 22 20 20 20 20 - Income Income 32 Income 32 Income 80 20 22 24 26 28 30 20 30 40 50 G0 70 80 20 22 24 26 28 30 20 30 40 50 70 Does the line provide a good description of the data? O Yes, the scatterplot shows a linear pattem, so the line provides a good description of the data. O No, the scatterplot shows a nanlinear pattem, so the line does nat provide a good desoription of the data.
Transcribed Image Text:A study using body mass index (EMI)-an index of obesity-as a function of income ($ thousands) reported the following data in 2016. Income 15 20.5 30 40 60 75 EMI 31.1 29.4 27.5 27.2 26.7 19.9 A USE SALT Determine whidch variable is the independent variable and which is the dependent variable The independent variable is-Sclect- V and the dependent variable is -Soloct- V. Calculate the corelation coefficient r. (Round your answer to four dedmal places.) r- O Calculate the equation of the regression line. (Round your numerical values to two decimal places.) y - Plot the points and the line on a scatterplot. BMI BMI BMI BMI 32 80 32 80 30 30 60 28 28 60 26 26 40 24 24 40 22 22 20 20 20 20 - Income Income 32 Income 32 Income 80 20 22 24 26 28 30 20 30 40 50 G0 70 80 20 22 24 26 28 30 20 30 40 50 70 Does the line provide a good description of the data? O Yes, the scatterplot shows a linear pattem, so the line provides a good description of the data. O No, the scatterplot shows a nanlinear pattem, so the line does nat provide a good desoription of the data.
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