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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 273.1 mm. How does the result compare to the actual height of 1776 mm? Use a significance level of 0.05. Foot Length Height 281.7 278.1 252.9 259.3 278.9 258.2 273.7 261.8 1784.7 1770.7 1676.0 1645.9 1859.2 1709.6 1788.9 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.)

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 273.1 mm. How does the result compare to the actual height of 1776 mm? Use a significance level of 0.05. Foot Length Height 281.7 278.1 252.9 259.3 278.9 258.2 273.7 261.8 1784.7 1770.7 1676.0 1645.9 1859.2 1709.6 1788.9 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.)

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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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 273.1 mm. How does the result compare to the actual height of 1776 mm? Use a significance level of 0.05. Foot Length Height 281.7 278.1 252.9 259.3 278.9 258.2 273.7 261.8 1784.7 1770.7 1676.0 1645.9 1859.2 1709.6 1788.9 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.)
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 273.1 mm. How does the result compare to the actual height of 1776 mm? Use a significance level of 0.05. Foot Length Height 281.7 278.1 252.9 259.3 278.9 258.2 273.7 261.8 1784.7 1770.7 1676.0 1645.9 1859.2 1709.6 1788.9 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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