Scatter Plot Teacher Resources
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Students Analyze Data With Scatter Plots
Scatter plot lessons can help students create different types of graphs by hand or with the aid of technology.
Analyzing Patterns in Residuals
Using a regression applet, your class can predict and explore the shape of the residuals of linear and non-linear data. Then through discussion, these learners can generate rules on how to analyze residual plots to recognize non-linear data. Round out the lesson with an investigation regarding SAT scores and best fit regression models. For an extra challenge, have the class use the regression applet to try to generate scatter plots to match given residual plots. Note: the Data Sets for Algebra I Handout mentioned as an optional resource is not available.
In this Algebra I/Geometry/Algebra II worksheet, students create a scatter plot and analyze the data to determine if the data show any type of correlation. The four page worksheet provides extensive explanation of topic, step-by-step directions, and one problem. Answers are not provided.
A Statistical Analysis of Facebook
What better way to generate student excitement than to bring Facebook into the classroom? Here, your class will analyze data on Facebook usage using scatter plots and residuals, and determine which function (linear or exponential) is the more appropriate model. A PowerPoint presentation helps guide your class through several activities, including an exponential growth activity and additional practice.
Baseball Relationships - Using Scatter Plots
Students use graphing calculators to create scatter plots of given baseball data. They also determine percentages and ratios, slope, y-intercepts, etc. all using baseball data and statistics.
How Do You Make a Scatter Plot?
So you've got some x-values and some y-values and you want to make a scatter plot. First thing is to make a table for your x and y values. Then make ordered pairs and you can plot them.
Strike a Pose: Modeling in the Real World (There's Nothing to It!)
Adjust this instructional activity to fit either beginning or more advanced learners. Build a scatter plot, determine appropriate model (linear, quadratic, exponential), and then extend to evaluate the model with residuals. This problem uses real-world data and challenges one to make predications based on the model.
Comparison of Two Different Gender Sports Teams - Part 3 of 3 Scatter Plots and Lines of Best Fit
Students create a scatter plot for bivariate data and find the trend line to describe the correlation for the sports teams. In this scatter plot instructional activity, students analyze data, make predictions,and use observations about sports data using a scatter plot to find the line of best fit. Students explore a website and worksheets to complete the project. Students also write an essay and complete a quiz for assessment.
Data and Scatter Plots
Students collect and analyze data. In this statistics lesson, students plot their data on a coordinate plane and investigate the scatter plot. They identify the line of best fit.
Eighth graders discuss the parts of a scatter plot and appropriate times for its use. Given a table of information, 8th graders create a scatter plot and share their findings with the class. Students identify trend lines shown in the scatter plot.
Creating Scatter Plots
In this statistics worksheet, students create scatter plots with given values. They analyze the temperature and wind chill given different graphs. There are 10 questions.
How Do You Use a Scatter Plot to Find a Line of Fit?
What is a line-of-fit? Given a data set, plot the ordered pairs on a graph. It looks like a scatter plot. Now estimate, and draw a line that best fits what the data represents. That is your line-of-fit.
Area and Perimeter
High schoolers investigate area and perimeter of various shapes. In this area and perimeter of various shapes lesson, students record how area of shapes change when a dimension is doubled, halved, quartered, etc. High schoolers make scatter plots of radii v. circumference and radii v. area. Students discuss why the graphs have a linear or quadratic shape. High schoolers make similar graphs for various shapes such as squares and triangles.
da Vinci: Body Proportion Theories
Middle schoolers investigate the validity of da Vinci's proportion theory by recording human measurements on scatter plots. In groups of three, they record each other's height and wingspan to create a Powerpoint presentation, chart, or plot demonstrating their conclusions. Using their scatter plot information, they develop a clothing business whose sizes are determined by the plot results.
Circles, Circles, Everywhere!
Young scholars explore the concept of circles. In this circles lesson, students use their Ti-Nspire to collect data on various circles of different sizes. Young scholars measure the diameter and circumference of the circles and plot the data in a scatter plot of diameter v. circumference. Students find the slope of the line to be Pi.
Fitting a Line to Data
Sal trades his tablet for an Excel spreadsheet in this video, which covers fitting data to a line. Using a word problem about median income, he not only solves the problem but demonstrates how to successfully use scatter plots and Excel tools in math problems.
A Closer Look: Unemployment
Students view a video clip about unemployment. They research data and create a scatter plot graph. They discover the importance of graphs and what they can tell us. They create their own publication on unemployment.
Scatter Plots and Line of Best Fit – TV Task
This handout begins by asking your statisticians to form hypotheses on the correlation between test scores and student height and test scores and the number of hours watching TV. Then using specific data, your class will create scatter plots, find the line of best fit, calculate correlation values, and discuss the possibility of causation based on their findings.
Elementary and middle schoolers explore scatter plots. In this graphing lesson, pupils work in small groups and use jigsaw puzzles to develop a scatter plot. Younger students may develop a bar graph.
Is Bigger Better?--Just ask the scatter plot!
Seventh graders complete a math lab experiment to find the correlation between height and vertical jump. They start with a hypothesis via a math journal and complete the scatter plot using the TI-83. Students identify, analyze and create linear relations, sequences, and functions using symbols, graphs, tables, diagrams and written descriptions.