1 the variables are years of experience x and salary

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Unformatted text preview: tted polynomial regression line with X variables – (X , X 2 ) is: Y = 34.721 + 2.872X − 0.053X 2 . 1 Source of data: Tryfos (1998): Methods for business analysis and forecasting Case Salary Experience 1 71 26 2 69 19 3 73 22 4 69 17 5 65 13 6 75 25 ..., .... Figure: Scatter plot of salary against years of experience q q q q q q q q 70 q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q 60 q q q q q q q q q q q q q q q 50 q q q q q q q q q q q q q 0 5 10 15 q q q q 40 Salary (thousand $) q q q q q q q q q q q q q q q q q q q q q q q 20 Years of experience 25 30 35 Body Fat Accurate measure of body fat is costly. Thus it is desirable to use a set of easily obtainable measurements to estimate the body fat. 2 • Percent body fat (Y ) and 13 X variables: Age (years), Weight (lbs), Height (inches), Neck circumference (cm), Chest (cm), Abdomen 2 (cm), Hi...
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This document was uploaded on 03/15/2014 for the course STATS 108 at UC Davis.

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