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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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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