10.9 Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be thepredictor (x) variable. Find the best predicted height of a male with a foot length of 273.4 mm. How does the result compareto the actual height of 1776 mm?Foot Length 281.7 278.0 252.9 259.2 279.2 257.8 274.2 262.4Height1785.0 1771.2 1676.3 1645.7 1859.3 1710.1 1788.6 1736.9 The regression equation is ŷ-x(Round the constant to the nearest integer as needed. Round the coefficient to two decimal places as needed.)The best predicted height of a male with a foot length of 273.3 mm is(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 close to the actual height of 1776 mm.C. The result is exactly the same as the actual height of 1776 mm.D. The result does not make sense given the context of the data.mm.

Foot Lenth Height281.717852781771.2252.91676.3259.21645.7279.21859.3257.81710.1274.21788.6262.41736.9We will Excel formula To find the The slope "b" and Intercept of the given data by using excel formula :Slope==SLOPE(Y,X)Intercept ==INTERCEPT(Y,X)Now we hae to Round off constant or intercept to Near by integer value a=Constant = 342.68 ~343 b=5.24 (Round off 2 decimal)Note : I am taking X =273.4mmThe best pred. value of height of male with foot length of 273.4Put x=273.4 m in reqression equation that we have obtained in part (a)The best pred. value of height of male with foot length of 273.4 mm is 1776mmOption C is correct The result is exactly same as the actual height of 1776 mm.a) The best pred. value of height of male with foot length of 273.4 mm is 1776mmOption C is correct The result is exactly same as the actual height of 1776 mm.