7.1 Draw Scatter Plots and Best Fitting Lines Pg. 255 Notetaking Guide Pg. 255 Notetaking Guide.

Slides:



Advertisements
Similar presentations
5.4 Correlation and Best-Fitting Lines
Advertisements

Topic: 1. Parallel & Perpendicular Lines 2. Scatter Plots & Trend Lines Name: Date: Period: Essential Question: Vocabulary: Parallel Lines are lines in.
5-7: Scatter Plots & Lines of Best Fit. What is a scatter plot?  A graph in which two sets of data are plotted as ordered pairs  When looking at the.
Lesson 5.7- Statistics: Scatter Plots and Lines of Fit, pg. 298 Objectives: To interpret points on a scatter plot. To write equations for lines of fit.
TODAY IN ALGEBRA 2.0…  Warm up: Writing the equation of a perpendicular line  Learning Goal 1: 2.6 (Part 1) You will fit lines to data in scatter plots.
Correlation & Regression Math 137 Fresno State Burger.
EXAMPLE 3 Approximate a best-fitting line Alternative-fueled Vehicles
7.1 Draw Scatter Plots & Best-Fitting Lines 7.1 HW Quiz: Friday 7.1, 7.2 Quiz: TBA 7.1, 7.2, 7.7 Test: Sept. 22 Make-up work needs to be made up by Monday.
How do I draw scatter plots and find equations of best-fitting lines?
Learn to create and interpret scatter plots and find the line of best fit. 5.4 Scatter Plots.
Scatter Plots and Lines of Fit Lesson 4-5 Splash Screen.
Rate of Change and Slope
TODAY IN ALGEBRA…  Warm Up: Graphing Linear Equations and solving for y.  Learning Goal: 7.1 You will solve systems on linear equations by Graphing 
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
How do I find the equation of a line of best fit for a scatter plot? How do I find and interpret the correlation coefficient, r?
Section 2-7: Scatter Plots and Correlation Goal: See correlation in a scatter plot and find a best-fitting line.
GOALS: WRITE A LINEAR EQUATION THAT APPROXIMATES A SET OF DATA POINTS DETERMINE IF THERE IS A POSITIVE, NEGATIVE OR NO CORRELATION BETWEEN DATA POINTS.
Vocabulary bivariate data: Data involving two variables, as opposed to many (multivariate), or one (univariate). scatter plot: A graph that shows the general.
Objective: I can write linear equations that model real world data.
Prior Knowledge Linear and non linear relationships x and y coordinates Linear graphs are straight line graphs Non-linear graphs do not have a straight.
1. Graph 4x – 5y = -20 What is the x-intercept? What is the y-intercept? 2. Graph y = -3x Graph x = -4.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-6 Regression and Correlation.
Splash Screen. Lesson Menu Five-Minute Check (over Lesson 4–4) CCSS Then/Now New Vocabulary Concept Summary: Scatter Plot Example 1:Real-World Example:
4-6 Scatter Plots and Lines of Best Fit
Describe correlation EXAMPLE 1 Telephones Describe the correlation shown by each scatter plot.
1.3 The Power of Visualizing Data - Trends. Example 1 a) Create a scatter plot. Year Number of Homicides
Introduction When linear functions are used to model real-world relationships, the slope and y-intercept of the linear function can be interpreted in context.
Holt Algebra Curve Fitting with Linear Models 2-7 Curve Fitting with Linear Models Holt Algebra 2 Lesson Presentation Lesson Presentation.
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.
Solve for a = 2a 2.–5a = –16 ANSWER Write an equation of the line that passes through the points (0, 0) and (4, 8). y = 2x Solve for a.
Correlation Correlation is used to measure strength of the relationship between two variables.
2-4 Writing Linear Equations Objective: To write an equation of a line in slope intercept form given the slope and one or two points, and to write an equation.
Regression Line I. Recap: Mean is _______________________________________________________________ Median is _____________________________________________________________.
Draw Scatter Plots and Best-Fitting Lines Section 2.6.
Chapter 2 – Linear Equations and Functions
Creating a Residual Plot and Investigating the Correlation Coefficient.
3.3 Correlation: The Strength of a Linear Trend Estimating the Correlation Measure strength of a linear trend using: r (between -1 to 1) Positive, Negative.
2-7 Curve Fitting with Linear Models Warm Up Lesson Presentation
Section 2.6 – Draw Scatter Plots and Best Fitting Lines A scatterplot is a graph of a set of data pairs (x, y). If y tends to increase as x increases,
Statistics: Scatter Plots and Lines of Fit
Warm-Up Write the equation of each line. A B (1,2) and (-3, 7)
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.
2.5 Using Linear Models A scatter plot is a graph that relates two sets of data by plotting the data as ordered pairs. You can use a scatter plot to determine.
Section 7.1 Scatter Plots & Best-Fitting Lines. Drawing a scatterplot Identify what your “x-values” (horizontal axis) and “y-values” (vertical axis) will.
Lesson Menu Five-Minute Check (over Lesson 2–4) CCSS Then/Now New Vocabulary Key Concept: Scatter Plots Example 1:Real-World Example: Use a Scatter Plot.
Splash Screen. Lesson Menu Five-Minute Check (over Lesson 4–4) CCSS Then/Now New Vocabulary Concept Summary: Scatter Plot Example 1:Real-World Example:
2.5 CORRELATION AND BEST-FITTING LINES. IN THIS LESSON YOU WILL : Use a scatter plot to identify the correlation shown by a set of data. Approximate the.
Correlation and Median-Median Line Statistics Test: Oct. 20 (Wednesday)
Learn to create and interpret scatter plots and find the line of best fit. 5.4 Scatter Plots.
Scatter Plots and Best- Fitting Lines By Tristen Billerbeck.
HW: Pg # 34-36, 43-45, 61. HW: Pg # eoe, 59.
Median-Median Line MM2D2b Examine the issues of curve fitting by finding good linear fits to data using simple methods such as median- median line and.
Lines of Best Fit When data show a correlation, you can estimate and draw a line of best fit that approximates a trend for a set of data and use it to.
Chapter – Scatter Plots and Correlation. Scatter plot – graph of a set of data pairs (x, y) Correlation – relationship between the ordered pairs.
Statistics: Scatter Plots and Lines of Fit. Vocabulary Scatter plot – Two sets of data plotted as ordered pairs in a coordinate plane Positive correlation.
4.4 – SCATTER PLOTS AND LINES OF FIT Today’s learning goal is that students will be able to: interpret scatter plots, identify correlations between data.
Scatter Plots and Lines of Fit (4-5) Objective: Investigate relationships between quantities by using points on scatter plots. Use lines of fit to make.
4-5 Scatter Plots and Lines of Best Fit
CHAPTER 10 Correlation and Regression (Objectives)
2.5 Correlation and Best-Fitting Lines
2. Find the equation of line of regression
2.6 Draw Scatter Plots and Best-Fitting Lines
1.3 Modeling with Linear Functions Exploration 1 & 2
Section 1.4 Curve Fitting with Linear Models
7.1 Draw Scatter Plots & Best-Fitting Lines
2.6 Draw Scatter plots & Best Fitting Lines
Unit 2 Quantitative Interpretation of Correlation
7.1 Draw Scatter Plots and Best Fitting Lines
Draw Scatter Plots and Best-Fitting Lines
Presentation transcript:

7.1 Draw Scatter Plots and Best Fitting Lines Pg. 255 Notetaking Guide Pg. 255 Notetaking Guide

Vocabulary Scatter Plot –A graph of a set of data pairs (x, y) Positive Correlation –The relationship between paired data when “y” tends to increase as “x” increases Negative Correlation –The relationship between paired data when “y” tends to decrease as “x” increases

Vocabulary (cont.) Correlation Coefficient –A number, denoted by “r”, from - 1 to 1 that measures how well a line fits a set of data pairs (x, y) Best Fitting Line –The line that lies as close as possible to all the date points Linear Regression –A method for finding the equation of the best fitting line, or regression line, which expresses the linear relationship between the independent variable “x” and the dependent variable “y”

Vocabulary (cont.) Median-Median Line –A median-median line is a linear model used to fit a line to a data set. The line is fit only to summary points, “key” points calculated using medians. Algebraic Model –An expression, equation, or function that represents data or a real-world situation Inference –A logical conclusion that is derived from know data

Example #1 (Correlation Coefficients) Describe the data as having a positive correlation, a negative correlation, or approximately no correlation. Tell whether the correlation coefficient for the data is closest to – 1, , - 0.5, 0, 0.5, 0.75, or 1. a.b. Strong Negative Correlation r = Weak Positive Correlation r = 0.5

Checkpoint You complete 1 & 2 Use the following scale for “r” - 1, , - 0.5, 1, 0.5, 0.75, 1

Example #2 (Best-Fitting Line) Approximate the best fitting line Draw a _____________ Sketch the best fitting line Choose two points on the scatter plot. {(1, 722), and (2, 750)} Write an equation of the line. We need the slope and y-intercept x y

Example #2 (cont.) Slope Now use the point-slope formula with one of your points (Only use one of your points (1, 722), & m = 28)

Checkpoint Use the table to answer the questions

Example #3 (Median-Median Line) Find the equation for the median-median line ** Make sure your data is in order from least to greatest values “by the x values” Divide data into 3 equal size groups (if not possible make the first and last groups equal size and the center group smaller)

Example #3 (cont.) Create a table of your values Create a summary point for each group (these are your x and y medians) Groupx’sy’sMedian 11, __, 3__, 34, 40__ 25, 6, __35, 60, ____ 3__, 10, 1145, __, 60__ Group 1:(__, __) Group 2:(__, __) Group 3:(__, __)

Example #3 (cont.) Determine the equation of the line between the two outer (group 1 and group 3) summary points by finding the slope between the two points and then using the slope and one point in the point slope formula Group 1:(2, 34) Group 2:(6, 60) Group 3:(10, 50)

Example #3 (cont.) Final Step –Move the equation from group 1 and group 3 one-third of the way to the middle summary point Middle summary point (6, 60) Use equation from group 1 and group 3 to find the predicted value for x = 6 One third of the difference between y = 60 and y = 42 Add the difference to the equation Group 1:(2, 34) Group 2:(6, 60) Group 3:(10, 50)

Checkpoint Find the equation of the median-median line

Practice (median-median) (1, 22), (2, 27), (2, 20), (3, 15), (4, 19), (5, 10), (5, 14), (6, 9), (8, 7), (8, 11), (8, 13), (9, 5)

Practice (median-median) (12, 42), (15, 72), (17, 81), (11, 95), (8, 98), (14, 78), (9, 83), (13, 87), (13, 92)

Homework NTG pg. 260, 1 – 13 all