The Line of Best Fit

5
Section 2.3

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The Line of Best Fit. Section 2.3. definitions. Line of best fit  the line with the smallest value for the sum of the squares of the errors. Method of Least Squares  the process of finding the line of best fit - PowerPoint PPT Presentation

Transcript of The Line of Best Fit

Page 1: The Line of Best Fit

Section 2.3

Page 2: The Line of Best Fit

Line of best fit the line with the smallest value for the sum of the squares of the errors.

Method of Least Squares the process of finding the line of best fit

Center of Gravity the coordinates of this point are the mean of the observed x-values and the mean of the observed y-values.

Page 3: The Line of Best Fit

In August 1990, Consumer Reports listed the following average prices per pound for four grades of raw hamburger: • regular (72.5% lean), $1.57• Chuck (80% lean), $1.85• Round (85% lean), $2.38• Sirloin (92.5% lean), $2.93

Find the equation of best fit:Verify that the center of gravity is on the line of best fit.

Find the sum of the squares of the errors for the line of best fit

Y = 7.02x – 3.61

7.02 (82.5) – 3.61 = $2.18

≈ .0352

Page 4: The Line of Best Fit

Refer to the data on wrist and neck size in Example 2. Let x = neck circumference and y=wrist circumference

a. What is the line of best fit for predicting wrist size from neck size?

b. What is the predicted wrist size of a person with a neck circumference of 37.5?

c. What is the predicted wrist size of a person with a neck circumference of 17 in?

Y = .368x + 3.25

Y = .368 (17) + 3.25

Y = .368 (37.5)+ 3.25 17.05

Y = 9.506

Page 5: The Line of Best Fit

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