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Questions: (1) Using a calculator, compute the estimate of intercept. Don’t forget to show the key steps of your work.(2)Using a calculator, compute the estimate of slope. Don’t forget to show (only) the key steps of your work.

Questions: (1) Using a calculator, compute the estimate of intercept. Don’t forget to show the key steps of your work.(2)Using a calculator, compute the estimate of slope. Don’t forget to show (only) the key steps of your work.

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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Questions: (1) Using a calculator, compute the estimate of intercept. Don’t forget to show the key steps of your work.(2)Using a calculator, compute the estimate of slope. Don’t forget to show (only) the key steps of your work.

Problem 1: The researchers were inspired by an article they read online (http://www.news-medical.net/news/20140829/Statistical- analysis-finds-correlation-between-high-BMI-cigarette-smoking-in-teens.aspx). They run their own pilot study to estimate the relationship between the teens' BMIs and their monthly smoking habits (measured by number of cigarettes smoked in the past week). They would like to use their data to quantify the relationship between smoking habits (predictor) and BMI (outcome). From previous research, they estimate that variables are approximately normally distributed and have a linear relationship. They collected the following data: Number of cigarettes smoked in past week 18 25 7 0 35 BMI 25 26 21 23 32
Transcribed Image Text:Problem 1: The researchers were inspired by an article they read online (http://www.news-medical.net/news/20140829/Statistical- analysis-finds-correlation-between-high-BMI-cigarette-smoking-in-teens.aspx). They run their own pilot study to estimate the relationship between the teens' BMIs and their monthly smoking habits (measured by number of cigarettes smoked in the past week). They would like to use their data to quantify the relationship between smoking habits (predictor) and BMI (outcome). From previous research, they estimate that variables are approximately normally distributed and have a linear relationship. They collected the following data: Number of cigarettes smoked in past week 18 25 7 0 35 BMI 25 26 21 23 32
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Step 1

Given data:

Number of cigarettes smoked in past week BMI
18 25
25 26
7 21
0 23
35 32
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