The regression equation is ŷ = 347.5 + 5.22x.
The best predicted height of a male with a foot length of 272.8 mm is 1772 mm.
The result compares to the actual height of 1776 mm as: B. The result is close to the actual height of 1776 m.
In this exercise, we would plot the foot length (in millimeters) on the x-coordinates of a scatter plot while the height (in millimeters) would be plotted on the y-coordinate of the scatter plot through the use of Microsoft Excel.
On the Microsoft Excel worksheet, you should right click on any data point on the scatter plot, select format trend line, and then tick the box to display a linear equation for the line of best fit on the scatter plot.
Based on the scatter plot shown below, which models the relationship between the x-values and the y-values, a linear equation for the line of best fit is as follows:
ŷ = 5.22x + 347.5
The best predicted height of a male with a foot length of 272.8 mm can be calculated as follows;
ŷ = 5.22(272.8) + 347.5
ŷ = 1771.516 ≈ 1772 mm.
In this context, we can logically deduce that the result is close to an actual height of 1776 m.