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4. the research group is trying to determine a better predictor of body…

Question

  1. the research group is trying to determine a better predictor of body fat percentage. in addition to the weight of each of the 19 male subjects, the waist size of each subject was measured and recorded.

w, waist (inches) | 32 | 36 | 38 | 33 | 39 | 40 | 41 | 35 | 38 | 33 | 40 | 36 | 32 | 44 | 33 | 41 | 34 | 34 | 44
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
y, body fat % | 16 | 21 | 25 | 6 | 22 | 30 | 32 | 21 | 25 | 19 | 15 | 22 | 9 | 38 | 14 | 27 | 12 | 10 | 30

a. plot the data points as ordered pairs of the form (w, y) on an appropriately scaled and labeled coordinate axis.

Explanation:

Step1: Define axes

Set x-axis as Waist (30-45, 1-unit interval) and y-axis as Body Fat % (5-40, 1-unit interval). Label axes clearly.

Step2: Plot ordered pairs

Mark each (w,y) pair: (32,16), (36,21), (38,25), (33,6), (39,22), (40,30), (41,32), (35,21), (38,25), (33,19), (40,15), (36,22), (32,9), (44,38), (33,14), (41,27), (34,12), (34,10), (44,30).

Answer:

A scatter plot with x-axis labeled "Waist (inches)" (30-45) and y-axis labeled "Body Fat %" (5-40), plotting all 19 (w,y) pairs as described.