The weight (in pounds) and height (in inches) for a child were measured every few months over a two- The equation ý = 17.4 + 0.5x is called the least- squares regression line because it year period. The results are displayed in the scatterplot. O is least able to make accurate predictions for the data. O makes the strongest association between weight and height. A Child's Weight and Height 40 O minimizes the sum of the squared distances from the actual y-value to the predicted y-value. 36 O maximizes the sum of the squared distances from the actual y-value to the predicted y-value. 32 28 24 20 6 8 10 12 14 16 18 20 22 24 26 32 34 36 38 4042 Height (Inches)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The weight (in pounds) and height (in inches) for a
child were measured every few months over a two-
The equation ý = 17.4 + 0.5x is called the least-
squares regression line because it
year period. The results are displayed in the
scatterplot.
O is least able to make accurate predictions for the
data.
O makes the strongest association between weight
and height.
A Child's Weight and Height
40
O minimizes the sum of the squared distances from
the actual y-value to the predicted y-value.
36
O maximizes the sum of the squared distances from
the actual y-value to the predicted y-value.
32
28
24
20
6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 4042
Weight (Pounds)
Height (Inches)
Transcribed Image Text:The weight (in pounds) and height (in inches) for a child were measured every few months over a two- The equation ý = 17.4 + 0.5x is called the least- squares regression line because it year period. The results are displayed in the scatterplot. O is least able to make accurate predictions for the data. O makes the strongest association between weight and height. A Child's Weight and Height 40 O minimizes the sum of the squared distances from the actual y-value to the predicted y-value. 36 O maximizes the sum of the squared distances from the actual y-value to the predicted y-value. 32 28 24 20 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 4042 Weight (Pounds) Height (Inches)
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