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 malewith a foot length of 273.1 mm. How does the result compare to the actual height of 1776 mm?Foot Length 282.0 278.0 253.1 258.8 279.0 258.0 274.4 262.2Height1785.3 1771.2 1675.9 1646.3 1859.2 1710.4 1789.2 1737.2The regression equation is y=+x.(Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.)The best predicted height of a male with a foot length of 273.1 mm is mm.(Round to the nearest integer as needed.)How does the result compare to the actual height of 1776 mm?OA. The result is exactly the same as the actual height of 1776 mm.OB. The result is very different from the actual height of 1776 mm.OC. The result is close to the actual height of 1776 mm.OD. The result does not make sense given the context of the data.

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Answered: Listed below are foot lengths (mm) and…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 6PPS

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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 272.7 mm. How does the result compare to the actual height of 1776 mm? Foot Length 282.3 277.8 252.8 258.7 279.0 258.4 274.1 261.7 Height 1785.0 1771.0 1675.7 1645.7 1859.3 1710.2 1789.2 1737.0 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.) The best predicted height of a male with a foot length of 272.7 mm is (Round to the nearest integer as needed.) How does the result compare to the actual height of 1776 mm? O A. The result is close to the actual height of 1776 mm. O B. The result is exactly the same as the actual height of 1776 mm. O C. The result is very different from the actual height of 1776 mm. O D. The result does not make sense given the context of the data. C mm.
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 273.3 mm. How does the result compare to the actual height of 1776 mm? Foot Length 281.9 278.1 253.3 259.4 279.1 257.8 273.6 262.2 Height 1785.0 1771.2 1676.2 1646.2 1858.9 1710.2 1788.7 1736.6 The regression equation is y=+x. X. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 273.3 mm is mm. (Round to the nearest integer as needed.) How does the result compare to the actual height of 1776 mm? OA. The result is very different from the actual height of 1776 mm. OB. The result is exactly the same as the actual height of 1776 mm. OC. The result is close to the actual height of 1776 mm. OD. The result does not make sense given the context of the data.
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? Foot Length 281.9 278.2 252.8 258.7 278.9 258.1 274.2 262.1 Height 1785.1 1771.3 1676.1 1646.1 1858.8 1710.1 1789.2 1737.4 The regression equation is y = + Ox. (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 272.8 mm. How does the result compare to the actual height of 1776 mm? Foot Length 281.9 278.3 252.9 258.7 279.2 258.0 274.2 262.3 Height 1785.0 1771.0 1675.9 1646.2 1858.8 1709.6 1788.7 1736.6 The regression equation is ŷ= + (x y= (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) YouTube no New Helluva Boss Recommended Z
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 273.3 mm. How does the result compare to the actual height of 1776 mm? Foot Length 281.9 278.3 253.2 258.7 278.7 257.8 274.2 262.2 Height 1784.8 1771.0 1675.6 1645.9 1858.7 1710.1 1789.2 1737.4 the regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 273.3 mm is enter your response here mm. (Round to the nearest integer 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 272.8 mm. How does the result compare to the actual height of 1776 mm? Foot Length 281.8 277.9 253.3 259.2 279.0 258.0 274.0 262.4 Height 1784.7 1771.2 1676.0 1645.9 1858.9 1710.1 1788.9 1737.0 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 272.8 mm is enter your response heremm. (Round to the nearest integer 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 273.2 mm. How does the result compare to the actual height of 1776 mm? Foot Length 282.3 277.9 253.1 259.3 279.2 258.1 274.2 261.8 Height 1784.8 1771.3 1676.2 1646.1 1858.7 1710.1 1789.3 1736.7 Question content area bottom Part 1 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) Part 2 The best predicted height of a male with a foot length of 273.2 mm is enter your response here mm. (Round to the nearest integer as needed.) Part 3 How does the result compare to the actual height of 1776 mm? A. The result is close to the actual height of 1776 mm. B. The…
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 272.9 mm. How does the result compare to the actual height of 1776 mm? Foot Length 282.2 277.8 Height 1785.3 1771.2 253.0 259.2 278.7 258.0 274.1 261.8 1675.9 1646.2 1858.9 1709.6 1788.8 1737.0 + C The regression equation is = y X. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 272.9 mm is mm. (Round to the nearest integer as needed.) How does the result compare to the actual height of 1776 mm? A. The result is very different from the actual height of 1776 mm. B. The result is exactly the same as the actual height of 1776 mm. C. The result is close to the actual height of 1776 mm. D. The result does not make sense given the context of the data.
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 272.8 mm. How does the result compare to the actual height of 1776 mm? Foot Length Height 282.3 277.7 252.7 259.0 278.8 258.2 273.8 262.2 O 1784.9 1771.4 1675.7 1646.4 1858.9 1710.2 1789.3 1737.4 ..... The regression equation is y =+(x. (Round the y-intercept to the nearest integer as rded. Round the slope to two decimal places as needed.) %3D Activate WindeMS Help me solve this View an example Get more help - P Type here to search 耳 hp f8 fg f10 f11 f12 insert prt sc delete f2 f4 f5 144 ? 米 esc & backspace 2. 3 4 E Y G H. K 00 %24 %23
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 272.7 mm. How does the result compare to the actual height of 1776 mm? Foot Length Height 281.8 278.1 252.7 258.9 278.9 258,4 274.0 261.7 O 1785.3 1770.9 1676.3 1646.3 1859.3 1710.3 1789.2 1736.7 The regression equation is y=+ ( x. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 272.7 mm is mm. (Round to the nearest integer as needed.) How does the result compare to the actual height of 1776 mm? O A. The result is close to the actual height of 1776 mm. O B. The result is exactly the same as the actual height of 1776 mm. OC. The result is very different from the actual height of 1776 mm. O D. The result does not make sense given the context of the data.

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