Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table shows the shoe size and heights (in) for 6 men.
font size decreased by 1 font size increased by 1 Shoe size comma xShoe size, x |
8.58.5 |
9.59.5 |
10.010.0 |
12.012.0 |
13.013.0 |
13.513.5 |
|
(a)
xequals=size 10.510.5 |
(b)
xequals=size 9.09.0 |
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Height, y |
66.066.0 |
67.067.0 |
73.073.0 |
72.072.0 |
74.074.0 |
72.072.0 |
(c)
xequals=size 15.515.5 |
(d)
xequals=size 11.511.5 |
Find the regression equation.
ModifyingAbove y with caretyequals=nothing xplus+left parenthesis nothing right parenthesis
(Round to three decimal places as needed.)
from above line equation: Yhat=56.662+1.264*x
a)
predicted value =56.662+1.264*10.5=69.934
b)
predicted value =56.662+1.264*9=68.038
c)
not meaningful
d)
predicted value =56.662+1.264*11.5=71.198
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