Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 1 2-1 INTERPRET SCATTERPLOTS Graph bivariate data. Interpret trends based on scatterplots.

Slides:



Advertisements
Similar presentations
AP Stat Day Days until AP Exam Introduction to Bivariate Data Describing Patterns Correlation and Causation Introduction to Bivariate Data Describing.
Advertisements

Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide MATHEMATICALLY MODELING A BUSINESS Recognize the transitive property of dependence.
Chapter 3 Bivariate Data
Bivariate Data & Scatter Plots Learn to take bivariate data to create a scatter plot for the purpose of deriving meaning from the data.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide INTERPRET SCATTERPLOTS Graph bivariate data. Interpret trends based on scatterplots.
Scatter Plots Find the line of best fit In addition to level 3.0 and beyond what was taught in class, the student may:  Make connection with.
Unit 3 Linear Functions and Patterns
Describing the Relation Between Two Variables
IDENTIFY PATTERNS AND MAKE PREDICTIONS FROM SCATTER PLOTS.
OBJECTIVES 2-2 LINEAR REGRESSION
1 Lesson Using Scatterplots. 2 Lesson Using Scatterplots California Standards: Statistics, Data Analysis, and Probability 1.2 Represent two.
Scatter Diagrams and Correlation
Lesson 4: Graphing A Magically Delicious Activity.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Main Idea/Vocabulary scatter plot line of fit Construct and interpret scatter plots.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 4 Section 1 – Slide 1 of 30 Chapter 4 Section 1 Scatter Diagrams and Correlation.
When is it reasonable to make a prediction? For example, when you know the height of a tree, can you predict the size of its leaves? Or if you know the.
Let’s play “Name That Car!”. What car is this? And this?
2-7 Curve Fitting with Linear Models LESSON PLAN Warm Up (Slide #2)
Lesson 1-7 Pages Scatter Plots. What you will learn! 1. How to construct scatter plots. 2. How to interpret scatter plots.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved 1-2 STOCK MARKET DATA Use stock data to follow the daily progress of a corporate stock.
Bivariate data are used to explore the relationship between 2 variables. Bivariate Data involves 2 variables. Scatter plots are used to graph bivariate.
Scatter Diagrams and Correlation Variables ● In many studies, we measure more than one variable for each individual ● Some examples are  Rainfall.
Chapter 7 Scatterplots, Association, and Correlation.
Scatterplots AP Statistics CH. 7 EQ: How do we graph bivariate data?
Relationships Scatterplots and correlation BPS chapter 4 © 2006 W.H. Freeman and Company.
CHAPTER curve fitting with linear functions.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide SUPPLY AND DEMAND Understand the slopes of the supply and demand curves. Find.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide LINEAR REGRESSION Be able to fit a regression line to a scatterplot. Find and.
Holt McDougal Algebra Scatter Plots and Trend Lines 3-5 Scatter Plots and Trend Lines Holt Algebra 1 Warm Up Warm Up Lesson Presentation Lesson Presentation.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide GRAPHS OF EXPENSE AND REVENUE FUNCTIONS Write, graph and interpret the expense.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide THE PROFIT EQUATION Determine a profit equation given the expense and revenue.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide FIXED AND VARIABLE EXPENSES Understand the difference between fixed and variable.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Chapter 10 Correlation and Regression 10-2 Correlation 10-3 Regression.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide MATHEMATICALLY MODELING A BUSINESS Recognize the transitive property of dependence.
Lesson 4.7 – Interpreting the Correlation Coefficient and Distinguishing between Correlation & Causation EQs: How do you calculate the correlation coefficient?
Holt McDougal Algebra Scatter Plots and Trend Lines Create and interpret scatter plots. Use trend lines to make predictions. Objectives.
Discovering Mathematics Week 9 – Unit 6 Graphs MU123 Dr. Hassan Sharafuddin.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide BREAKEVEN ANALYSIS Determine the breakeven prices and amounts using technology.
Lesson – Teacher Notes Standard: 8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association.
Lesson – Teacher Notes Standard: 8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association.
Correlation Definition: Correlation - a mutual relationship or connection between two or more things. (google.com) When two set of data appear to be connected.
Describing Relationships. Least-Squares Regression  A method for finding a line that summarizes the relationship between two variables Only in a specific.
CCSS.Math.Content.8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities.
Holt McDougal Algebra 1 Scatter Plots and Trend Lines Holt Algebra 1 Warm Up Warm Up Lesson Presentation Lesson Presentation Lesson Quiz Lesson Quiz Holt.
1. Analyzing patterns in scatterplots 2. Correlation and linearity 3. Least-squares regression line 4. Residual plots, outliers, and influential points.
Financial Algebra © 2011 Cengage Learning. All Rights Reserved Slide STOCK MARKET DATA CHARTS Interpret a stock bar chart. Create a stock bar chart.
2 MODELING A BUSINESS 2-1 Interpret Scatterplots 2-2 Linear Regression
Quantitative Data Essential Statistics.
Entry Task What is the slope of the following lines? 1) 2y = 8x - 70
Entry Task Graph the line: y = 2x - 3.
SCATTER PLOTS AND LINES OF BEST FIT
CHAPTER 7 LINEAR RELATIONSHIPS
Make Predictions from Scatter Plots
2-1 INTERPRET SCATTERPLOTS
Unit 2.2 Linear Regression
Grade Distribution 3rd 5th 8th A B 6 5 C 2 1 D F
Linear transformations
Warm Up This data, from 2005, shows the scores of 8th graders on a standardized math test. Make a histogram of this data set and comment on the distribution.
Find the line of best fit.
11A Correlation, 11B Measuring Correlation
Common Core Standard 8.SP.A.1
Splash Screen.
Objective: Interpret Scatterplots & Use them to Make Predictions.
Scatterplots, Association and Correlation
Draw Scatter Plots and Best-Fitting Lines
Lesson – Teacher Notes Standard:
Lesson – Teacher Notes Standard:
Presentation transcript:

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide INTERPRET SCATTERPLOTS Graph bivariate data. Interpret trends based on scatterplots. Draw lines and curves of best fit. OBJECTIVES

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Warm-UpWarm-Up Use a table of values and graph paper to graph the line represented by the equation y = 2x – 3. Slide 2

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 3 data - Any set of numbers univariate data - single set of numbers bivariate data - Data that lists pairs of numbers and shows a relationship between the paired numbers scatterplot - graph that shows bivariate data trend - general pattern correlation - association between two variables positive correlation - value of one variable increases when the value of the other increases negative correlation - value of one variable decreases when the value of the other variable increases causal relationship - one variable caused a change in the other explanatory variable - variable which causes the change response variable - affected variable Key Terms

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Skills and Strategies Scatterplot A graph of a set of ordered pairs that may or may not show a relationship. Points graphed on a scatterplot are not connected. The position of the points are examined to determine the existence and strength of a correlation. Slide 4

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 5 Example 1 Rachael runs a concession stand at the park, where she sells water bottles. She keeps a list of each day’s high temperature and the number of water bottles she sells each day. Rachael is looking for trends that relate the daily high temperature to the number of water bottles she sells each day. She thinks these two variables might be related and wants to investigate possible trends using a scatterplot. Below is the list of her ordered pairs. (65, 102), (71, 133), (79, 144), (80, 161), (86, 191), (86, 207), (91, 235), (95, 237), (100, 243) Construct a scatterplot by hand on graph paper. Then enter the data in a graphing calculator to create a scatterplot.

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Example 1 Answer Slide 6

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 7 If the temperature reaches 68 degrees Fahrenheit tomorrow, about how many water bottles do you predict will be sold? Explain. CHECK YOUR UNDERSTANDING

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 8 Example 2 Rachael wants to interpret the trend shown in the scatterplot. What do you notice about the relationship between temperature and water bottle sales? Is there an explanatory variable and a response variable?

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 9 A local coffee shop sells hot chocolate. The manager keeps track of the temperature for the entire year and the hot chocolate sales. A scatterplot is graphed with temperature on the horizontal axis and hot chocolate sales on the vertical axis. Do you think the scatterplot shows a positive or negative correlation? Is there causation? Explain. CHECK YOUR UNDERSTANDING

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 10 Determine if the following scatterplot depicts a positive correlation or a negative correlation. EXAMPLE 3

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 11 A local medical school is studying growth of students in grades 1–12. The height of each student in inches and the length of each student’s foot in centimeters is recorded, and a scatterplot is constructed. Do you think the scatterplot shows a positive correlation or a negative correlation? Is there causation? CHECK YOUR UNDERSTANDING

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 12 An elementary school principal compiled the following data about ten students at Compsett Elementary School. The first number represents a student’s height in inches. The second number is the student’s reading level. Create a scatterplot of the data. Do you think a person’s height causes a higher reading level? EXAMPLE 4

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Example 4 Answer Slide 13

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 14 Think of an example of data that might have a negative correlation but there is no causation. CHECK YOUR UNDERSTANDING

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 15 The scatterplot shows the relationship between the number of text messages made by each of ten juniors while studying for Mr. Galati’s chemistry test last week and their scores on the test. Describe the trends you see in the data. EXAMPLE 5

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. Slide 16 Students in a biology class measure the circumference and diameter of every tree on the school property. The students create a table of ordered pairs and plan to draw a scatterplot. Should there be a positive correlation, a negative correlation, or no correlation? CHECK YOUR UNDERSTANDING

Financial Algebra © 2011 Cengage Learning. All Rights Reserved. ApplicationsApplications Pages 68 – 69, #2 – 8 even Slide 17