Aim: Graph of Best Fit Course: Alg. 2 & Trig. Aim: How do we model real-world data with polynomial and other functions? Do Now: 6 pt. Regents Question.

Slides:



Advertisements
Similar presentations
Write an exponential function
Advertisements

7.7 Choosing the Best Model for Two-Variable Data p. 279.
Chapter 2 Functions and Graphs Section 4 Polynomial and Rational Functions.
1-4 curve fitting with linear functions
Exponential Functions, Growth, and Decay (2 Questions) Tell whether each function represents growth or decay, then graph by using a table of values: 1.
MAT 105 SPRING 2009 Quadratic Equations
Aim: How do transformations affect the equations and graphs of functions? Do Now: Graph y = -.25x2 – 4 and describe some of the important features. Axis.
Polynomial functions Chapter 5.
1 Learning Objectives for Section 1.3 Linear Regression After completing this section, you will be able to calculate slope as a rate of change. calculate.
EXAMPLE 1 Describe the correlation of data Describe the correlation of the data graphed in the scatter plot. a. The scatter plot shows a positive correlation.
EXAMPLE 3 Approximate a best-fitting line Alternative-fueled Vehicles
§ 9.6 Exponential Growth and Decay; Modeling Data.
7.6 Modeling Data: Exponential, Logarithmic, and Quadratic Functions.
Linear and Quadratic Functions and Modeling
Copyright © Cengage Learning. All rights reserved. 3 Exponential and Logarithmic Functions.
Linear Models and Scatter Plots Digital Lesson. Copyright © by Houghton Mifflin Company, Inc. All rights reserved. 2 x 24 –2–2 – 4 y A scatter plot.
1 Copyright © 2015, 2011, and 2007 Pearson Education, Inc. Start- Up Day 10.
Copyright © Cengage Learning. All rights reserved. Logarithmic Function Modeling SECTION 6.5.
Linear Models and Scatter Plots Objectives Interpret correlation Use a graphing calculator to find linear models and make predictions about data.
6.1 Exponential Growth and Decay
1. Graph 4x – 5y = -20 What is the x-intercept? What is the y-intercept? 2. Graph y = -3x Graph x = -4.
1 6.9 Exponential, Logarithmic & Logistic Models In this section, we will study the following topics: Classifying scatter plots Using the graphing calculator.
Scatter plots and Regression Algebra II. Linear Regression  Linear regression is the relationship between two variables when the equation is linear.
Remember to download from D2L and print a copy of the Final Group Project. DateSection October November Continued November 6Review for test.
Ch 5.1 Inverse Functions.
10/18/2015 V. J. Motto 1 Chapter 1: Models V. J. Motto MAT 112 Short Course in Calculus Data Sets and the “STAT” Function.
2 pt 3 pt 4 pt 5pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2pt 3 pt 4pt 5 pt 1pt 2pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4pt 5 pt 1pt Slope-Intercept Form Point-Slope.
Splash Screen.
Aim: Line of Best Fit Course: Alg. 2 & Trig. Aim: How do we use data to make predictions – (linear regression)? Do Now: A candle is 6 inches tall after.
Topic 5: Logarithmic Regression
7-8 Curve Fitting with Exponential and Logarithmic Models Warm Up
CHAPTER curve fitting with linear functions.
WARM – UP #5 1. Graph 4x – 5y = -20 What is the x-intercept? What is the y-intercept? 2. Graph y = -3x Graph x = -4.
 Students should be able to… › Evaluate a polynomial function. › Graph a polynomial function.
Scatter Plots, Correlation and Linear Regression.
Holt Algebra Modeling Real-World Data Warm Up quadratic: y ≈ 2.13x 2 – 2x x35813 y Use a calculator to perform quadratic and.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 7 Algebra: Graphs, Functions, and Linear Systems.
Objective: To write linear equations that model real-world data. To make predictions from linear models. Bell Ringer: Write 3 ways you used math over your.
Math III Accelerated Chapter 11 Data Analysis and Statistics 1.
?v=cqj5Qvxd5MO Linear and Quadratic Functions and Modeling.
Getting Students to DIGMath: Dynamic Interactive Graphics in College Algebra Sheldon P. Gordon Farmingdale State College farmingdale.edu\~gordonsp.
Exponential and Logarithmic Functions
Warm-up What is the standard form of a linear equation?
Polynomial Functions Characteristics The Remainder Theorem The Factor Theorem Equations and Graphs Math.
Splash Screen.
Exponential Functions. When do we use them? Exponential functions are best used for population, interest, growth/decay and other changes that involve.
1.2 Mathematical Models: A Catalog of Essential Functions.
Copyright © Cengage Learning. All rights reserved. 3 Exponential and Logarithmic Functions.
P REVIEW TO 6.7: G RAPHS OF P OLYNOMIAL. Identify the leading coefficient, degree, and end behavior. Example 1: Determining End Behavior of Polynomial.
7.1 Polynomial Functions Objectives: 1.Evaluate polynomial functions. 2.Identify general shapes of graphs of polynomial function.
1 Copyright © 2015, 2011, and 2008 Pearson Education, Inc. Chapter 1 Functions and Graphs Section 4 Polynomial and Rational Functions.
Coordinate Algebra Practice EOCT Answers Unit 3. #1 Unit 3 Two lines are graphed on this coordinate plane. Which point appears to be a solution of the.
CHAPTER 5 REVIEW Exponential and Logarithmic Functions.
1.6 Modeling Real-World Data with Linear Functions Objectives Draw and analyze scatter plots. Write a predication equation and draw best-fit lines. Use.
Algebra 2cc Section 2.10 Identify and evaluate polynomials A polynomial function is an expression in the form: f(x) = ax n + bx n-1 + cx n-2 + … dx + e.
Over Lesson 3-4 5–Minute Check 1 Solve 9 x – 2 = 27 3x. A. B.–1 C. D.
Scatter Plots and Lines of Fit
Splash Screen.
Use a graphing calculator to graph the following functions
Strong Positive Strong Positive Weak Positive Strong Negative
Splash Screen.
Warm-up 1) Write the equation of the line passing through (4,5)(3,2) in: Slope Intercept Form:   Standard Form: Graph: Find intercepts.
Warm-up Activity Determine which of the following are polynomial functions. If so, state the degree and leading coefficient of each polynomial. f(x) =
Scatter Plots and Best-Fit Lines
Warm-Up Find the inverse of each function. f(x) = x + 10 g(x) = 3x
Regression.
Warm-Up 5 minutes Graph each function. Describe its general shape.
Integrated Math 3 – Mod 3 Test Review
2.5 Correlation and Best-Fitting Lines
Presentation transcript:

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Aim: How do we model real-world data with polynomial and other functions? Do Now: 6 pt. Regents Question The 1999 win-loss statistics for the American League East baseball teams on a particular date is shown in the accompanying chart. WL New York5234 Boston4939 Toronto4743 Tampa Bay3949 Baltimore3651 Find the mean for the number of wins,, and the mean for the number of losses,, and determine if the point ( is a point on the line of best fit. Justify your answer.

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Model Problem The average daily amount of waste generated by each person in the United States is given below. This includes all wastes such as industrial wastes, demolition wastes, and sewage. Yr lbs. of waste per person per day Create a scatter plot and determine the regression line. Round to nearest hundredth y =.05x – 98.69

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Correlation Positive Correlation y tends to increase as x increases slope is positive No Correlation Negative Correlation y tends to decrease as x increases slope is negative

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Correlation Co-efficient Data that are linear in nature will have varying degrees of goodness of fit to the lines of fit. The correlation coefficient r describes the nature of data. The closer the fit of the data to the line, the closer r gets to + 1 or -1 0 < r < 0.5 positive/weak 0.75 < r < 1 strongly positive -0.5 < r < 0 moderately negative

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Real World Data & Poly Function Shapes linear y = ax + b quadratic y = ax 2 + bx + c cubic y = ax 3 +bx 2 + cx+d quartic y = ax 4 + bx 3 + cx 2 + dx + e No Direction Change 1 Direction Change 2 Direction Changes 3 Direction Changes

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Which Function is Best Fit? Determine the type of polynomial function that could be used to represent the data in each scatter plot. Two direction change: cubic function would be best fit One direction change: quadratic function would be best fit

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Functions Modeling Data Write a polynomial function that models the set of data. x f(x)f(x) enter x into L 1 enter f(x) into L 2 View Stat Plot and determine which function best models the data f(x) = x 3 – 3x 2 + x – 5 Determine Cubic Regression Equation and round coefficients to nearest integer STAT 6 ENTER  cubic

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Waste Problem The average daily amount of waste generated by each person in the United States is given below. This includes all wastes such as industrial wastes, demolition wastes, and sewage. Yr lbs. of waste per person per day Is a linear function the best fit for this data? quadratic 1 direction change STAT 5 ENTER  Quadratic Regression y = ax 2 + bx + c a = b = c = R 2 = y = -.004x x

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Waste Problem y = -.004x x a. Use the model to predict the amount of waste produced per day in Since 2010 is 30 years later than 1980, find f(30). f(30) = -.004x x = lb. b. Use the model to predict when waste will drop to 3 pounds per day. f(x) = -.004x x = 3 x ≈ -4 or or 2014

Aim: Graph of Best Fit Course: Alg. 2 & Trig. GrowthDecay GrowthDecay Exponential Functions y = ab x Logarithmic Functions y = a + b ln x Growth & Decay

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Model Problem The table below gives the population of the world in billions for selected years during the 1900’s. YRYR P Determine an equation that models the data.

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Growth & Decay P y = ax + b a =.0435 b = r 2 =.9008 r =.9491 y =.04x + 1 Growth y = a · b x a = b = r 2 =.9700 r =.9849 y = 1.44 ·1.01 x

Aim: Graph of Best Fit Course: Alg. 2 & Trig. 4 pt. Regents Question A biologist finds that a colony of bacteria grows exponentially and collects the following data on its size. On a grid, make a scatter plot of this data. Write an exponential regression equation, expressing the regression coefficients to the nearest tenth. Time (days) Population (100s of liters per hour)

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Natural Log Growth Model Problem The data in the table gives the yield y (in milligrams) of a chemical reaction after x minutes. x y Find a logarithmic model for the data y = lnx

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Oil Tanker Problem An oil tanker collides with another ship and starts leaking oil. the Coast Guard measure the rate of flow of oil from the tanker and obtains the data shown in the table. Write a polynomial function to model the set of data. Time (hours) Flow Rate (100s of liters per hour) f(x) = -0.4x x

Aim: Graph of Best Fit Course: Alg. 2 & Trig. Model Problem Write a polynomial function to model the set of data. xf(x)f(x) f(x) = 2x 3 – 3x 2 – x + 4