Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
5-8 Curve Fitting with Quadratic Models For a set of ordered pairs with equally spaced xvalues, a quadratic function has constant nonzero second differences, as shown below. Holt Algebra 2 5-8 Curve Fitting with Quadratic Models Example 1B: Identifying Quadratic Data Determine whether the data set could represent a quadratic function. Explain. x y 3 4 5 6 7 1 3 9 27 81 Equally spaced x-values x y 1st 2nd Holt Algebra 2 3 4 5 6 7 1 3 9 27 81 2 6 4 18 12 54 36 Find the first and second differences. Not a Quadratic function: second differences are not constant for equally spaced x-values 5-8 Curve Fitting with Quadratic Models Example 3: Consumer Application The table shows the cost of circular plastic wading pools based on the pool’s diameter. Find a quadratic model for the cost of the pool, given its diameter. Use the model to estimate the cost of the pool with a diameter of 8 ft. Diameter (ft) Cost Holt Algebra 2 4 $19.95 5 6 7 $20.25 $25.00 $34.95 5-8 Curve Fitting with Quadratic Models Example 3 Continued Step 1 Enter the data into two lists in a graphing calculator. Holt Algebra 2 Step 2 Use the quadratic regression feature. 5-8 Curve Fitting with Quadratic Models Example 3 Continued Step 3 Graph the data and function model to verify that the model fits the data. Holt Algebra 2 Step 4 Use the table feature to find the function value x = 8. 5-8 Curve Fitting with Quadratic Models Example 3 Continued A quadratic model is f(x) ≈ 2.4x2 – 21.6x + 67.6, where x is the diameter in feet and f(x) is the cost in dollars. For a diameter of 8 ft, the model estimates a cost of about $49.54. Holt Algebra 2 5-8 Curve Fitting with Quadratic Models The table below lists the total estimated numbers of AIDS cases, by year of diagnosis from 1999 to 2003 in the United States (Source: US Dept. of Health and Human Services, Centers for Disease Control and Prevention, HIV/AIDS Surveillance, 2003.) Use the model to predict the number of AIDS cases in the year 2006. Year 1999 2000 2001 2002 2003 Holt Algebra 2 AIDS Cases 41,356 41,267 40,833 41,289 43,171 5-8 Curve Fitting with Quadratic Models Example 3 Continued Step 1 Enter the data into two lists in a graphing calculator. Let the year 1998 represent t = 0. We let 1998 be when t = 0 because it allows for a more accurate approximation of the quadratic function. The quadratic regression’s coefficients of a, b, and c will be more accurate when there isn’t 2000 units separating the y-axis and the first data point. Holt Algebra 2 Step 2 Use the quadratic regression feature. 5-8 Curve Fitting with Quadratic Models Example 3 Continued Step 3 Graph the data and function model to verify that the model fits the data. Holt Algebra 2 Step 4 Use the table feature to find the function value x = 8. 5-8 Curve Fitting with Quadratic Models Example 3 Continued A quadratic model is f(t) ≈ 345.143t2 – 1705.657t + 42903, where x is the number of years after 1998 and f(t) is the amount of AIDS cases. For the year 2006, the model estimates the number of AIDS cases to be 51,347. Holt Algebra 2 5-8 Curve Fitting with Quadratic Models HW pg. 377 #12-14,19,24,25,26,36,38,41,50 Holt Algebra 2