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Police investigators and forensic scientists can often predict the height of a suspect just from a footprint that was left behind at a crime scene. This is because the size of a person's foot tends to relate to the height of a person. As you might already know, this is a positive relationship. The taller the person, the larger their feet tends to be. Data given below: Length of footprint (cm) Height (cm) a) Determine the least squares regression line 29.8 29.3 27.5 31.1 32.6 22.5 176.1 179.4 172.2 184.2 179.0 157.3 b) Determine the linear correlation coefficient c) Create a scatter plot to display the data and draw the line of best fit.

Police investigators and forensic scientists can often predict the height of a suspect just from a footprint that was left behind at a crime scene. This is because the size of a person's foot tends to relate to the height of a person. As you might already know, this is a positive relationship. The taller the person, the larger their feet tends to be. Data given below: Length of footprint (cm) Height (cm) a) Determine the least squares regression line 29.8 29.3 27.5 31.1 32.6 22.5 176.1 179.4 172.2 184.2 179.0 157.3 b) Determine the linear correlation coefficient c) Create a scatter plot to display the data and draw the line of best fit.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 1AGP
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Paragraph Styles 1. Police investigators and forensic scientists can often predict the height of a suspect just from a footprint that was left behind at a crime scene. This is because the size of a person's foot tends to relate to the height of a person. As you might already know, this is a positive relationship. The taller the person, the larger their feet tends to be. Data given below: Length of footprint (cm) Height (cm) a) Determine the least squares regression line 29.8 29.3 27.5 31.1 32.6 22.5 176.1 179.4 172.2 184.2 179.0 157.3 b) Determine the linear correlation coefficient c) Create a scatter plot to display the data and draw the line of best fit.
Transcribed Image Text:Paragraph Styles 1. Police investigators and forensic scientists can often predict the height of a suspect just from a footprint that was left behind at a crime scene. This is because the size of a person's foot tends to relate to the height of a person. As you might already know, this is a positive relationship. The taller the person, the larger their feet tends to be. Data given below: Length of footprint (cm) Height (cm) a) Determine the least squares regression line 29.8 29.3 27.5 31.1 32.6 22.5 176.1 179.4 172.2 184.2 179.0 157.3 b) Determine the linear correlation coefficient c) Create a scatter plot to display the data and draw the line of best fit.
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