5. The National Center for Health Statistics published data on heights and weights. We obtained the following data from 10 randomly selected males 8-12 years of age. x y Height 69 Weight d. 151 72 154 e. f. 70 160 200 Weight go 160 Regression Equation: Correlation r = 67 153 a. If the researcher uses "Height" to predict "Weight" then the response variable is weight b. Use your calculator to create a scatter plot. Copy the scatter plot below (draw it). Make sure to label the horizontal axis and vertical axis, and provide the minimum and maximum values (displayed on your graph on your calculator) on each axis.. 140 (20 O 75 201 60 70 80 Height c. Is the association between the two variables positive or negative, or no association? (circle one) 66 126 70 174 71 185 68 143 g. Identify the slope of the regression line: and mention both men's heights and weights.)" Use your calculator to find the regression line (or line of best fit) and the correlation r. (Make sure something has a hat on it.) 65 175 Use the equation in d. to find the predicted weight for a man who is 69" tall. Show work and box final answer. Compute the residual associated with the man who is 69" tall. Show work and box final answer. Interpret it using the context of the problem. (Write a sentence
5. The National Center for Health Statistics published data on heights and weights. We obtained the following data from 10 randomly selected males 8-12 years of age. x y Height 69 Weight d. 151 72 154 e. f. 70 160 200 Weight go 160 Regression Equation: Correlation r = 67 153 a. If the researcher uses "Height" to predict "Weight" then the response variable is weight b. Use your calculator to create a scatter plot. Copy the scatter plot below (draw it). Make sure to label the horizontal axis and vertical axis, and provide the minimum and maximum values (displayed on your graph on your calculator) on each axis.. 140 (20 O 75 201 60 70 80 Height c. Is the association between the two variables positive or negative, or no association? (circle one) 66 126 70 174 71 185 68 143 g. Identify the slope of the regression line: and mention both men's heights and weights.)" Use your calculator to find the regression line (or line of best fit) and the correlation r. (Make sure something has a hat on it.) 65 175 Use the equation in d. to find the predicted weight for a man who is 69" tall. Show work and box final answer. Compute the residual associated with the man who is 69" tall. Show work and box final answer. Interpret it using the context of the problem. (Write a sentence
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
Related questions
Question
Transcribed Image Text:5. The National Center for Health Statistics published data on heights and weights. We obtained the following data
from 10 randomly selected males 8-12 years of age.
*
y
Height 69
Weight
151
72
154
70
160
200
Weight go
IGO
Regression Equation:
Correlation r =
67
153
140
(20
O
75
201
66
126
a. If the researcher uses "Height" to predict "Weight" then the response variable is
weight
b.
Use your calculator to create a scatter plot. Copy the scatter plot below (draw it). Make sure to label the
horizontal axis and vertical axis, and provide the minimum and maximum values (displayed on your graph on
your calculator) on each axis..
70
174
71
185
60
70
Height
80
c. Is the association between the two variables positive or negative, or no association? (circle one)
68
143
g. Identify the slope of the regression line:
and mention both men's heights and weights.)"
d.
Use your calculator to find the regression line (or line of best fit) and the correlation r. (Make sure something
has a hat on it.)
65
175
e. Use the equation in d. to find the predicted weight for a man who is 69" tall. Show work and box final answer.
f. Compute the residual associated with the man who is 69" tall. Show work and box final answer.
Interpret it using the context of the problem. (Write a sentence
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