Below are the average heights for American boys in 1990. Age (years) Height (cm) birth 50.8 2 83.8 3 91.4 5 106.6 119.3 10 137.1 14 157.5 O Part (a) O Part (b) O Part (c) O Part (d) Calculate the least squares line. Put the equation in the form of: ŷ = a + bx. (Round your answers to three decimal places.) ý = O Part (e) Find the correlation coefficient r. (Round your answer to four decimal places.) r= Is it significant? Yes O No O Part (f) Find the estimated average height for a one-year-old. (Use your equation from part (d). Round your answer to one decimal place.) cm Find the estimated average height for a eleven-year-old. (Use your equation from part (d). Round your answer to two decimal places.) cm O Part (g) Does it appear that a line is the best way to fit the data? Why or why not? O A line does appear to be the best way to fit the data because the data points follow a positive linear trend. O A line is not the best way to fit the data because it does not touch all the data points. O A line is the best way to fit the data because there is only one correct line that will fit a data set. O A line is the best way to fit the data because the slope of the line is positive and the linear correlation is positive.
Below are the average heights for American boys in 1990. Age (years) Height (cm) birth 50.8 2 83.8 3 91.4 5 106.6 119.3 10 137.1 14 157.5 O Part (a) O Part (b) O Part (c) O Part (d) Calculate the least squares line. Put the equation in the form of: ŷ = a + bx. (Round your answers to three decimal places.) ý = O Part (e) Find the correlation coefficient r. (Round your answer to four decimal places.) r= Is it significant? Yes O No O Part (f) Find the estimated average height for a one-year-old. (Use your equation from part (d). Round your answer to one decimal place.) cm Find the estimated average height for a eleven-year-old. (Use your equation from part (d). Round your answer to two decimal places.) cm O Part (g) Does it appear that a line is the best way to fit the data? Why or why not? O A line does appear to be the best way to fit the data because the data points follow a positive linear trend. O A line is not the best way to fit the data because it does not touch all the data points. O A line is the best way to fit the data because there is only one correct line that will fit a data set. O A line is the best way to fit the data because the slope of the line is positive and the linear correlation is positive.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please label each part
SUBPART
Transcribed Image Text:Below are the average heights for American boys in 1990.
Age (years)
Height (cm)
birth
50.8
2
83.8
3
91.4
5
106.6
7
119.3
10
137.1
14
157.5
+ Part (a)
+ Part (b)
+ Part (c)
Part (d)
Calculate the least squares line. Put the equation in the form of: ý = a + bx. (Round your answers to three decimal places.)
%3D
Part (e)
Find the correlation coefficient r. (Round your answer to four decimal places.)
r =
Is it significant?
Yes
No
O Part (f)
Find the estimated average height for a one-year-old. (Use your equation from part (d). Round your answer to one decimal place.)
cm
Find the estimated average height for a eleven-year-old. (Use your equation from part (d). Round your answer to two decimal places.)
cm
O Part (g)
Does it appear that a line is the best way to fit the data? Why or why not?
A line does appear to be the best way to fit the data because the data points follow a positive linear trend.
A line is not the best way to fit the data because it does not touch all the data points.
A line is the best way to fit the data because there is only one correct line that will fit a data set.
A line is the best way to fit the data because the slope of the line is positive and the linear correlation is positive.
O O O O
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