1 / 12

Math II

Math II. UNIT QUESTION: Can real world data be modeled by algebraic functions? Standard: MM2D1, D2 Today’s Question: What methods can be used to find the equation of a quadratic? Standard: MM2D2c. QUADRATIC REGRESSION.

kaya
Télécharger la présentation

Math II

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Math II UNIT QUESTION: Can real world data be modeled by algebraic functions? Standard: MM2D1, D2 Today’s Question: What methods can be used to find the equation of a quadratic? Standard: MM2D2c

  2. QUADRATIC REGRESSION Given a set of discrete data we want to determine a quadratic equation model that approximates the dataas “close” as possible. The phrase quadratic of best fit or quadratic regression is often used. Since we want the quadratic of best fit we want the equation of the quadratic that minimizes the sum of the squares of the distances from the data points to the parabola defined by the quadratic equation. How is the computation performed? For our course there are formulas for the coefficients a, b, and c of the quadratic of best fit given by f(x) = ax2 + bx + c. We will use calculators to get the numeric values.

  3. The data set appears to have a parabolic form. A “trial” parabola is shown. To get a “better fit” we try to adjust the coefficients of f(x) = ax2 + bx + c The objective is to minimize the sum of the squares of the vertical line segments shown.

  4. Example: Approximate the path of the projectile the “Human Cannon Ball”.

  5. QUADRATIC REGRESSION EXAMPLE The table shows the monthly sales (thousands) for a new hair salon since its grand opening in March. 1) Find the best fitting quadratic model. 2) What will be the total sales in September? y=0.12x2+0.07x+5.6 $10,450

  6. QUADRATIC REGRESSION BY HAND Case 1: Given the vertex and a point. • Substitute given info into: • Solve for a. 3) Rewrite the equation using the a that you find and the vertex point.

  7. QUADRATIC REGRESSION BY HAND Case 1: Given the vertex and a point. Ex 1: Vertex (-2,3) and Point (-1,1)

  8. QUADRATIC REGRESSION BY HAND Case 1: Given the vertex and a point. Ex 2: Vertex (1,-4) and Point (0,-3)

  9. QUADRATIC REGRESSION BY HAND Case 2: Given 2 zeroes and a point • Substitute given info into: • Solve for a. 3) Rewrite the equation using the a that you find and the vertex point.

  10. QUADRATIC REGRESSION BY HAND Case 1: Given 2 zeroes and a point. Ex 1: Zeroes at -2 and 1, and Point (-1,-4)

  11. Class work Workbook Page 267 #10-11

  12. Homework Page 257 #17-20

More Related