SkinfoldThighMidarmBody Fat19.543.129.111.924.749.828.222.830.751.93718.729.854.331.120.119.142.230.912.925.653.923.721.731.458.527.627.127.952.130.625.422.149.923.221.325.553.524.819.331.156.63025.430.456.728.327.218.746.52311.719.744.228.617.814.642.721.312.829.554.430.123.927.755.325.722.630.258.624.625.422.748.227.114.825.25127.521.1 8) Run and show linear regressions (in Excel) fora) Body fat as the dependent variable and skinfold as an independentvariable.b) Body fat as the dependent variable and midarm as an independentvariable.c) Body fat as the dependent variable and thigh as an independent variable.d) Which seems to be a better predictor of the dependent variable body fat.Comment on why you feel this is true.f) Could this be useful in determining body fat?

“Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

Answered: 8) Run and show linear regressions (in…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Skinfold	Thigh	Midarm	Body Fat
19.5	43.1	29.1	11.9
24.7	49.8	28.2	22.8
30.7	51.9	37	18.7
29.8	54.3	31.1	20.1
19.1	42.2	30.9	12.9
25.6	53.9	23.7	21.7
31.4	58.5	27.6	27.1
27.9	52.1	30.6	25.4
22.1	49.9	23.2	21.3
25.5	53.5	24.8	19.3
31.1	56.6	30	25.4
30.4	56.7	28.3	27.2
18.7	46.5	23	11.7
19.7	44.2	28.6	17.8
14.6	42.7	21.3	12.8
29.5	54.4	30.1	23.9
27.7	55.3	25.7	22.6
30.2	58.6	24.6	25.4
22.7	48.2	27.1	14.8
25.2	51	27.5	21.1

8) Run and show linear regressions (in Excel) for a) Body fat as the dependent variable and skinfold as an independent variable. b) Body fat as the dependent variable and midarm as an independent variable. c) Body fat as the dependent variable and thigh as an independent variable.