Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.4 mm. How does the result compare to the actual height of 1776 mm? Foot Length Height 281.6 278.0 252.9 258.8 279.2 257.8 273.9 261.6 1785.4 1771.0 1676.1 1645.8 1859.2 1710.3 1788.7 1737.3 The regression equation is ŷ = + (1) ×. y (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.4 mm. How does the result compare to the actual height of 1776 mm? Foot Length Height 281.6 278.0 252.9 258.8 279.2 257.8 273.9 261.6 1785.4 1771.0 1676.1 1645.8 1859.2 1710.3 1788.7 1737.3 The regression equation is ŷ = + (1) ×. y (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
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 2AGP
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![Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the
predictor (x) variable. Find the best predicted height of a male with a foot length of 273.4mm. How does the result
compare to the actual height of 1776mm ? \table[[Foot Length,281.6, 278.0, 252.9, 258.8, 279.2, 257.8, 273.9, 261.6],[
Height, 1785.4, 1771.0, 1676.1, 1645.8, 1859.2, 1710.3, 1788.7, 1737.3]] The regression equation is hat(y) = +1, (Round
the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
ა
C
Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be
the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.4 mm. How does the
result compare to the actual height of 1776 mm?
Foot Length 281.6 278.0 252.9 258.8 279.2 257.8 273.9 261.6
Height
1785.4 1771.0 1676.1 1645.8 1859.2 1710.3 1788.7 1737.3
The regression equation is ŷ = + (x.
(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0a5b56a0-5d62-48b7-a177-35fa246c4fd9%2F6433ef3a-1e21-4e88-bac0-a2e7b2b116ed%2Fh1fsypy_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the
predictor (x) variable. Find the best predicted height of a male with a foot length of 273.4mm. How does the result
compare to the actual height of 1776mm ? \table[[Foot Length,281.6, 278.0, 252.9, 258.8, 279.2, 257.8, 273.9, 261.6],[
Height, 1785.4, 1771.0, 1676.1, 1645.8, 1859.2, 1710.3, 1788.7, 1737.3]] The regression equation is hat(y) = +1, (Round
the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
ა
C
Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be
the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.4 mm. How does the
result compare to the actual height of 1776 mm?
Foot Length 281.6 278.0 252.9 258.8 279.2 257.8 273.9 261.6
Height
1785.4 1771.0 1676.1 1645.8 1859.2 1710.3 1788.7 1737.3
The regression equation is ŷ = + (x.
(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)
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