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Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

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Page 1: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1

Chapter 2Modeling with Linear Functions

Page 2: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 2

2.2 Finding Equations of Linear Models

Page 3: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 3

Example: Finding an Equation of a Linear Model by Using Data

Described in Words

The number of times airplanes have struck birds has increased approximately linearly from 2.6 thousand strikes in 1992 to 10.0 thousand strikes in 2011 (Source: Federal Aviation Administration). Let n be the number (in thousands) of bird strikes in the year that is t years since 1990. Find an equation of a linear model.

Page 4: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 4

Solution

Values of t and n are shown in the table. Use the data points (2, 2.6) and (21, 10.0) to find the slope of the model.

2.621

7.40.39

02

0.9

11

m

Page 5: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 5

Solution

Substitute 0.39 for m in the equation n = mt + b:

n = 0.39t + b

Page 6: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 6

Solution

Find the constant b by substituting the coordinates of the point (2, 2.6) into the equation n = 0.39t + b:

0.39(2.6 )2 b

2.6 0.78 b 2.6 0.780.78 0.78b

1.82 b

Page 7: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 7

Solution

Substitute 1.82 for b in the equation n = 0.39t + b:

n = 0.39t + 1.82

Verify the equation using TRACE on a graphing calculator to check that the line approximately contains the points (2, 2.6) and (21, 10.0)

Page 8: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 8

Example: Find an Equation of a Linear Model by Using Data Displayed in a

TableThe numbers of Apple stores are shown in the table for various years. Let n be the number of Apple Stores at t years since 2000. Find an equation of a line that comes close to the points in a scattergram of the data.

Page 9: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 9

Solution

View the scattergram using a graphing calculator to save time and improve accuracy in plotting the points..

Page 10: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 10

SolutionWe want to find an equation of a line that comes close to the data points.

Recall that it is not necessary to use two data points to find an equation, although it is often convenient and satisfactory to do so.

Note on the next slide that the red line does not come close to the other data points. However, the green line that passes through points (9, 249) and (12, 358) does. We will find the equation of the green line.

Page 11: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 11

Solution

Page 12: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 12

Solution

Use the points (9, 249) and (12, 358) to find m:

9123 109

36.358 249

33

m

Substitute 36.33 for m in the equation n = mt + b:

n = 36.33t + b

Page 13: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 13

Solution

To find b, substitute (9, 249) into the equation:

36.33(249 )9 b

249 326.97 b

77.97 b 249 326.97326.97 326.97b

Substitute –77.97 for b in the equation:

n = 36.33t – 77.97

Page 14: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 14

Solution

Check the correctness of our equation using a graphing calculator to verify that our line approximately contains the points (9, 249) and (12, 358).

Page 15: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 15

Constructing a Scattergram

Warning

It is a common error to skip creating a scattergram. However there are many benefits:

1. We can determine whether the data are approximately linearly related.2. If so, it can help us choose two good points with which to find a model.3. We can assess whether the data fits the model well.

Page 16: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 16

Finding an Equation of a Linear Model

To find an equation of a linear model, given some data,

1. Create a scattergram of the data.

2. Determine whether there is a line that comes close to the data points. If so, choose two points (not necessarily data points) you can use to find the equation of a linear model.

Page 17: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 17

Finding an Equation of a Linear Model

3. Find an equation of the line you identified in step 2.

4. Use a graphing calculator to verify the graph of your equation comes close to the points of the scattergram.

Page 18: Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 1 Chapter 2 Modeling with Linear Functions

Copyright © 2015, 2008, 2011 Pearson Education, Inc. Section 2.2, Slide 18

Linear Regression

Definition

Most graphing calculators have a built-in linear regression feature for finding an equation of a linear model.

A linear equation found by linear regression is called a linear regression equation, and the function described by the equation is called a linear regression function. The graph is called a regression line.