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Modeling With Quadratic Functions Section 2.4 beginning on page 76
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Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Dec 18, 2015

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Abner Blair
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Page 1: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Modeling With Quadratic Functions

Section 2.4 beginning on page 76

Page 2: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

The Big IdeasIn this section we will learn the different ways we can use quadratic functions to represent real world situations.

Core VocabularyAverage rate of change

System of three linear equations

Page 3: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Different Forms of Quadratic Equations

Page 4: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Given the Vertex and a PointExample 1: The graph shows the parabolic path of a performer who is shot out of a cannon, where y is the height (in feet) and x is the horizontal distance traveled (in feet). Write an equation of the parabola. The performer lands in a net 90 feet from the cannon. What is the height of the net?

Given: Vertex: Point:(50,35) (0,15)

Substitute the values from the vertex and the point into vertex form.

𝑦=π‘Ž(π‘₯βˆ’h)2+π‘˜35

15=2500π‘Ž+35βˆ’20=2500π‘Žβˆ’0.008=π‘Ž

𝑦=π‘Ž(π‘₯βˆ’h)2+π‘˜π‘¦=βˆ’0.008(π‘₯βˆ’50)2+35

Now find the height when x = 90 (where the performer lands)

𝑦=βˆ’0.008(90βˆ’50)2+35𝑦=22.2

The height of the net is 22 feet.

Page 5: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Given the Vertex and a Point2) Write an equation of the parabola that passes through the point (-1,2) and has a vertex of (4,-9)

Given: Vertex: Point:(4 ,βˆ’9) (βˆ’1,2)

Substitute the values from the vertex and the point into vertex form.

𝑦=π‘Ž(π‘₯βˆ’h)2+π‘˜

2=π‘Ž(βˆ’1βˆ’4)2βˆ’9

2=25π‘Žβˆ’911=25 π‘Ž

0.44=π‘Ž

𝑦=π‘Ž(π‘₯βˆ’h)2+π‘˜π‘¦=0.44 (π‘₯βˆ’4 )2βˆ’9

2=π‘Ž(βˆ’5)2βˆ’9

Page 6: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Given a Point and the x-interceptsExample 2: A meteorologist creates a parabola to predict the temperature tomorrow, where x is the number of hours after midnight and y is the temperature (in degrees Celsius).

a) Write a function f that models the temperature over time. What is the coldest temperature?

𝑦=π‘Ž(π‘₯βˆ’π‘)(π‘₯βˆ’π‘ž)9.6=π‘Ž(0βˆ’4)(0βˆ’24)9.6=96π‘Ž.1=π‘Ž

𝑦=π‘Ž(π‘₯βˆ’π‘)(π‘₯βˆ’π‘ž)𝑦=.1(π‘₯βˆ’4 )(π‘₯βˆ’24 )

The lowest temp is the minimum.

b) What is the average rate of change in temperature over the interval in which the temperature is decreasing? Increasing? Compare the average rates of change.

π‘₯=4+242 ΒΏ14

𝑦=.1(14βˆ’4)(14βˆ’24)𝑦=βˆ’10 -10c is the lowest temp.

The interval before the minimum is decreasing, and the interval after the minimum is increasing. We can find the average slope for each segment.(We will do this part on the board)

Page 7: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Given a Point and the x-intercepts

𝑦=π‘Ž(π‘₯βˆ’π‘)(π‘₯βˆ’π‘ž)5=π‘Ž(2βˆ’βˆ’2)(2βˆ’4 )5=βˆ’8π‘Ž

βˆ’58=π‘Ž

𝑦=π‘Ž(π‘₯βˆ’π‘)(π‘₯βˆ’π‘ž)

𝑦=βˆ’58(π‘₯+2)(π‘₯βˆ’4)

4) Write an equation of the parabola that passes through the point (2,5) and has x-intercepts -2 and 4.

Page 8: Modeling With Quadratic Functions Section 2.4 beginning on page 76.
Page 9: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Quadratic Regression Continued

Page 10: Modeling With Quadratic Functions Section 2.4 beginning on page 76.

Practice Quadratic Regression