Kardal did a study to determine the correlation between men’s heights, x, and their shoe sizes, y, and found the following data:

(60, 8.5), (65, 10), (66, 12), (68, 11.5), (63, 9.5), (72, 12.5), (62, 8.5), (69, 12.5), (70, 11.5)

Kardal used the line of best fit to predict that a man 80 inches tall would wear about a size 16 shoe. What can be concluded about this prediction? Check all that apply.

AThe prediction is reasonable.
BThe prediction is an interpolation.
CNo data is given in the scatterplot for a height of 80 inches, but a shoe size can still be predicted.
DA prediction cannot be made for a man who is 80 inches tall.
EA man who is 80 inches tall will likely wear a size 12.5 shoe.

A. The prediction is reasonable.
C. No data is given in the scatterplot for a height of 80 inches, but a shoe size can still be predicted.
because y = 0.3726 * 80 - 13.91 = 15.898 which is about size 16

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tardymanchester tardymanchester · Answer 2 · 2019-03-22T07:08:41-04:00

Answer:

Option - A and C

Step-by-step explanation:

Given : Kardal did a study to determine the correlation between men’s heights, x, and their shoe sizes, y, and found the following data:

(60, 8.5), (65, 10), (66, 12), (68, 11.5), (63, 9.5), (72, 12.5), (62, 8.5), (69, 12.5), (70, 11.5).

Kardal used the line of best fit to predict that a man 80 inches tall would wear about a size 16 shoe.

To find : What can be concluded about this prediction? Check all that apply.

Solution :

We plot the given residual points in the excel and we get,

The equation of the line \(y=0.377x-14.214\)

And the value of \(R^2=0.7784\)

If the value of R is approx 1 then, the data is the best fit.

So, The prediction is reasonable.

Also, No data is given in the scatter plot for a height of 80 inches, but a shoe size can still be predicted.

as \(y=0.377x-14.214\)

substitute x=80

\(y=0.377(80)-14.214=15.946\)

Approximately y=16.

Therefore, Option A , C are correct.

Refer the attached figure.