The BODYFAT dataset was developed using randomly selected patients who were treated by a particular sports injury rehabilitation group. The purpose was to determine if girth (in centimeters) could be used to predict body fat (as a percentage) and to estimate the percentage of body fat (with 99% confidence) of a person who has a girth of 150cm. Girth is easily and accurately evaluated with a tape measure. Body fat percentage is measured via hydrostatic weighing, but this is too expensive and impractical to be easily deployed in most physicians' offices. Please conduct this analysis using a 1% significance level.

Girth 99.1 76 83.1 88.5 118 104.3 79.5 108.8 81.9 76.6 88.7 90.9 89 78 83.2 85.6 90.3 104.5 95.6 103.1 89.9 104 95.3 105 83.5 86.7 93 76 106.1 109.3 104.3 100.5 77.9 101.6 99.7 96.7 95.8 104.8 92.4 95 86 90.6 105.5 79.4 126.2 98 95.5 73.7 86.4 122.1

Fat% 19 8.4 9.2 21.8 33.6 31.7 6.4 24.6 4.1 12.8 12.3 8.5 26 7.3 13.4 22.3 20.2 16.8 18.4 27.7 17.4 26.4 11.3 27.1 17.2 10.7 18.1 13.7 28.1 23 30.8 16.5 7.4 18.2 25.1 16.1 30.2 25.4 25.9 21.6 8.8 19.5 31 10.4 33.1 20.2 21.9 11.2 10.9 45.1

Please conduct the eyeball-test using Minitab.It

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is not

is

reasonable to continue the analysis because the graph

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does not

does

show the characteristic of being

normal

free of outliers

independent

linear

homoscedastic

free of influential points