Scatter Plots Course 3 Lesson Presentation Lesson Presentation.

Slides:



Advertisements
Similar presentations
Course Lines of Best Fit
Advertisements

12-7 Lines of Best Fit Course 3 Warm Up Warm Up Lesson Presentation Lesson Presentation.
5.4 Correlation and Best-Fitting Lines
Proportional and Non-Proportional Relationships in Tables
A 4-6 What is Regression and Median Fit
4-7 Scatter Plots Course 3 Warm Up Warm Up Problem of the Day Problem of the Day Lesson Presentation Lesson Presentation.
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.
How Math can Help Solve Crimes
Scatter Plots. Vocabulary scatter plot correlation line of best fit Insert Lesson Title Here Course Scatter Plots.
Grade 6 Data Management Unit
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.
Describe correlation EXAMPLE 1 Telephones Describe the correlation shown by each scatter plot.
Warm Up Problem of the Day Lesson Presentation Lesson Quizzes.
Scatterplots Grade 8: 4.01 & 4.02 Collect, organize, analyze and display data (including scatter plots) to solve problems. Approximate a line of best fit.
EXAMPLE 3 Use a quadratic model Fuel Efficiency
1.6 Scatter Plots and Lines of Best Fit
Scatter Plots and Trend Lines
Learn to create and interpret scatter plots and find the line of best fit. 5.4 Scatter Plots.
Section 4.8 Line of Best Fit. Let’s make a scatter plot on the board together. 1.) Think of how old you are in months, and your shoe size. 2.) Plot on.
Page ___ #_-__ ANSWERS Excused due to fire drill.
Learn to create and interpret scatter plots. Course Scatter Plots.
4-7 Scatter Plots Warm Up Problem of the Day Lesson Presentation
Holt CA Course Scatter Plots Warm Up Warm Up California Standards California Standards Lesson Presentation Lesson PresentationPreview.
Learn to create and interpret scatter plots. Scatter Plots.
DESCRIBE A SCATTER WITH A NEGATIVE CORRELATION QUESTION OF THE DAY.
4-7 Scatter Plots Course 3 Lesson Presentation.
Scatter Plots A scatter plot is a graph with points plotted to show a relationship between two sets of data. Correlation describes the type of relationship.
Scatter Plots 4.7. Graph each point on the same coordinate plane. 1. A (5, 20) 2. B (20, 15) 3. C (10, 40) 4. D (30, 35) A B C D Warm Up.
Drill: 1. What is the value of the maximum? 2. Where does the minimum occur? 3. What is the domain and range? 4. What are the zeros of the function? 5.
2.8Exploring Data: Quadratic Models Students will classify scatter plots. Students will use scatter plots and a graphing utility to find quadratic models.
L INEAR /Q UADRATIC REGRESSION Objective: To write linear and quadratic equations that model real-world data. To make predictions from those equations.
1 What you will learn today 1. New vocabulary 2. How to determine if data points are related 3. How to develop a linear regression equation 4. How to graph.
CHAPTER 38 Scatter Graphs. Correlation To see if there is a relationship between two sets of data we plot a SCATTER GRAPH. If there is some sort of relationship.
5.4 – Fitting a Line to Data  Today we will be learning about: ◦ Finding a linear equation that approximated a set of data points ◦ Determining whether.
SDAP1.2 Represent two numerical variables on a scatterplot and informally describe how the data points are distributed and any apparent relationship that.
Warm Up Graph each point. 1. A(3, 2) 3. C(–2, –1) 5. E(1, 0) 2. B( – 3, 3) 4. D(0, – 3) 6. F(3, – 2)
Bivariate data are used to explore the relationship between 2 variables. Bivariate Data involves 2 variables. Scatter plots are used to graph bivariate.
Chapter 2 – Linear Equations and Functions
Chapter 9: Correlation and Regression Analysis. Correlation Correlation is a numerical way to measure the strength and direction of a linear association.
Lesson 9-1 Scatter Plots Obj: The student will be able to create and interpret scatter plots HWK: p all Vocab: 1) scatter plot 2) correlation 3)
Math 8C Unit 3 – Statistics. Unit 3 – Day 1 (U3D1) Standards Addressed: – Create a scatter plot and label any trends and clustering. – Explain why a linear.
Learn to create and interpret scatter plots and find the line of best fit. 5.4 Scatter Plots.
Scatter Plots and Lines of Best Fit 10-6 Warm Up Warm Up Lesson Presentation Lesson Presentation Problem of the Day Problem of the Day Lesson Quizzes Lesson.
Learn to create and interpret scatter plots.
Linear Best Fit Models Learn to identify patterns in scatter plots, and informally fit and use a linear model to solve problems and make predictions as.
11.2 Scatter Plots. Scatter Plots Example: What is the relationship here? Is the data on the x-axis related to the data on the y-axis? Is there a relationship.
Objective The student will be able to: graph ordered pairs on a coordinate plane. analyze data using scatter plots SPI: Graph ordered pairs of.
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.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
Scatter Plots Standard: Generalize the relationship between two sets of data using scatterplots and lines of best fit.
Warm Up Problem of the Day Lesson Presentation Lesson Quizzes.
Scatter Plots Learn to create and interpret scatter plots and find the line of best fit.
4-7 Scatter Plots Course 3 Lesson Presentation.
2.5 Scatter Plots & Lines of Regression
Scatter Plots 8.M.SP.01 I can create and interpret scatter plots and find associations between two quantities.
4-7 Scatter Plots Warm Up Problem of the Day Lesson Presentation
Scatter Plots and Equations of Lines
Warm Up 1. Order the numbers , 1.5, , , and least to greatest.
Scatter Plots and Best Fitting Lines
Scatterplots and Correlation
Correlation describes the type of relationship between two data sets.
Correlation describes the type of relationship between two data sets.
Correlation describes the type of relationship between two data sets.
Correlation describes the type of relationship between two data sets.
2.5 Correlation and Best-Fitting Lines
Correlation describes the type of relationship between two data sets.
Presentation transcript:

Scatter Plots Course 3 Lesson Presentation Lesson Presentation

Vocabulary scatter plot correlation line of best fit Insert Lesson Title Here Course 3 Scatter Plots

Course 3 Scatter Plots A scatter plot shows relationships between two sets of data.

Course 3 Scatter Plots Correlation describes the type of relationship between two data sets. The line of best fit is the line that comes closest to all the points on a scatter plot. One way to estimate the line of best fit is to lay a rulers edge over the graph and adjust it until it looks closest to all the points.

Course 3 Scatter Plots Positive correlation; both data sets increase together. Negative correlation; as one data set increases, the other decreases. No correlation; as one data set increases, the other decreases.

Additional Example 2A: Identifying the Correlation of Data Course 3 Scatter Plots A. The size of a jar of baby food and the number of jars of baby food a baby will eat. Negative correlation: The more food in each jar, the fewer number of jars of baby food a baby will eat. Do the data sets have a positive, a negative, or no correlation?.

Additional Example 2B: Identifying the Correlation of Data Course 3 Scatter Plots B. The speed of a runner and the number of races she wins. Positive correlation: The faster the runner, the more races she will win.

Do the data sets have a positive, a negative, or no correlation?. Additional Example 2C: Identifying the Correlation of Data Course 3 Scatter Plots C. The size of a person and the number of fingers he has No correlation: A person generally has ten fingers regardless of their size.

Try This: Example 2A Course 3 Scatter Plots A. The size of a car or truck and the number of miles per gallon of gasoline it can travel. Negative correlation: The larger the car or truck, the fewer miles per gallon of gasoline it can travel. Do the data sets have a positive, a negative, or no correlation?.

Course 3 Scatter Plots B. Your grade point average and the number of As you receive. Positive correlation: The more As you receive, the higher your grade point average. Try This: Example 2B

Do the data sets have a positive, a negative, or no correlation?. Course 3 Scatter Plots C. The number of telephones using the same phone number and the number of calls you receive. No correlation: No matter how many telephones you have using the same telephone number, the number of telephone calls received will be the same. Try This: Example 2C

Use the given data to make a scatter plot of the weight and height of each member of a basketball team. Additional Example 1: Making a Scatter Plot of a Data Set Course 3 Scatter Plots The points on the scatter plot are (71, 170), (68, 160), (70, 175), (73, 180), and (74, 190).

Use the data to predict how much a worker will earn in tips in 10 hours. Additional Example 3: Using a Scatter plot to Make Predictions Course 3 Scatter Plots According to the graph, a worker will earn approximately $24 in tips in 10 hours.

Use the data to predict how many circuit boards a worker will assemble in 10 hours. Try This: Example 3 Course 3 Scatter Plots According to the graph, a worker will assemble approximately 10 circuit boards in 10 hours. Hours Worked Circuit Board Assemblies Hours Circuit Board Assemblies