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Scatterplots Line of Best Fit Statistics Project Activity Experiment
Scatterplots Project | Student-Created Graphs, Data Collection & Line of Best Fit Interactive • Editable • Real-Life Data Activity • Digital or PrintableMake scatterplots meaningful with this hands-on, student-centered project that takes learners through the full process of creating and analyzing a scatterplot! Perfect for grades 6–8, this activity connects math to the real world and builds data literacy through creativity and collaboration. What's Included: ✅ Step 1: Develop a Hypothes
6th - 12th
Algebra, Math, Statistics
CCSS
8.SP.A.1
, 8.SP.A.2
, 8.SP.A.3
+10
Scatterplots and Trendlines Performance Tasks
Students will create scatterplots based on given data. They will then analyze the scatterplots and answer questions about their trends. They will make predictions based on the trend line that they create.
6th - 8th
Math, Statistics
Scatter Plot COVID-19 Project
Create scatterplots, find regression equations, and calculate correlation coefficients to determine if there are relationships between sets of COVID 19 data.
10th - 12th
Math, Statistics
Probability - Rolling the Dice - Word Version
Basic Probability Project - Word VersionFeel free to download and change it as you see fit. This project is specific to my classroom but I used overarching themes of Probability. Students will need to know:How to calculate a probability.How to turn a fraction into a percentage What P(Event) meansThe difference between theoretical and experimental probabilityOr this could be a good activity to introduce it!Basic definitions about dependent and independent events.About the Project:Students can be
7th - 12th
Math, Statistics
CCSS
7.SP.C.6
, 7.SP.C.7
, 7.SP.C.7b
Excel Data Analysis Project
This mini Project covers the concepts of scatterplots and linear regression lines using data analysis in Excel. The project introduces the concepts of scatterplots and lines of best fit, has students work through a basic analysis of a data set using Excel, then has students complete a more complex analysis of a baseball data set. I created this for my standard 8th grade math class to cover CCSSM.8.SP.1, CCSSM.8.SP.3, MP.4, and MP.5 in an engaging and practical way. I had students working in pair
7th - 11th
Math, Statistics
CCSS
8.SP.A.1
, 8.SP.A.3
, MP4
+1
Project: Correlations (Analyzing Bivariate Quantitative Data)
Project guidelines and rubric for a project on correlations. Students collect their own data, create a scatter plot, and calculate and analyze the correlation coefficient and coefficient of determination.
9th - 12th
Statistics
CCSS
HSS-ID.B.6
, HSS-ID.B.6c
, HSS-ID.C.7
+2
Correlation Project
Students will examine the correlation between their classmates height and shoe size. The students will graph the scatter plot, find the line of best fit, correlation coefficient and more. Students can also test their own topics to find out how correlated they are.
9th - 12th
Algebra, Algebra 2, Statistics
Linear Regression Project
This regression project compares the QB statistics of Tom Brady and Peyton Manning. It asks the students to create a scatter plot, find the line of best fit and then to use that line of best fit to make predictions on the future.
The project asks students to take into account real life events and determine whether or not they think they can trust their own predictions. (Ex: prediction in 2020, what factors might influence the numbers in 2020?)
They are also asked to compare their predictions
7th - 9th
Algebra, Math, Statistics
Theoretical and Experimental Probability Lesson Plan (no materials included)
This lesson plan was originally written for a class (and then adapted after teaching the lesson).
I am offering the plan for free, so that you can review the plan before purchasing the worksheets.
If you are interested in the lesson, the materials are avaliable for purchase. (My favorite part of the lesson is the "What is in the bag?" Experiment that is not described in detail in the lesson.)
6th - 8th
Applied Math, Other (Math), Statistics
Box Offices and Budgets Regression Project
In-class project. In groups or individually, students will research ten different movies' budgets and box offices. Then they graph the data on a scatterplot and create and interpret a linear regression model.
10th - 12th
Math, Statistics
CCSS
HSS-ID.B.6
, HSS-ID.B.6a
, HSS-ID.B.6b
+2
AP Statistics LSRL Activity - Is LSRL appropriate?
Just because r is strong, does that mean you can use a LSRL? This activity guides students to use excel/ google sheets to 1. Graph scatterplots with trend lines/ labels 2. Use XLMinter ToolPak to identify key statistics in linear regression analysis 3. Identify and interpret R, R^2, S 4. Graph and see residual plots 7. Compare key statistics in four data sets to determine which is most appropriate to use LSRL. This file was originally created as a google sheet. A sample answer key is included. T
11th - 12th
Math, Statistics
CCSS
HSS-ID.B.6b
, HSS-ID.B.6c
, HSS-ID.C.8
Algebra 2-Variable Statistics Project
Algebra Statistics project for 2-variable dataStudents create a survey and use their knowledge of the correlation and regression to display their data through a scatter plot. This follows the Georgia DOE standards for Algebra and Enhanced Algebra. All editable versions are included.This can be used individually or in groups.Tip: Use the large chart paper with grid lines for students to create their posters. The grid lines help students create the data plots. 2 versions are included in this packe
8th - 10th
Algebra, Statistics
Algebra 1 Statistics Project: Stats in Real Life
This is a Word Document and 100% editable! Project Overview: Your students are going to explore how Algebra 1 statistics show up in real life! They'll collect data, create a scatter plot, run a linear regression, and describe patterns in their results.
8th - 12th
Algebra, Graphing, Statistics
Bivariate Data: Regression Lines
In this project, students explore relationships between two quantitative variables by collecting their own real-world bivariate dataset. After organizing the data, students will represent it using multiple graphical displays, including a histogram and a scatterplot, and analyze patterns or trends that appear. Using statistical tools, students will calculate the least-squares regression line, correlation coefficient, and residuals to evaluate the strength and form of the relationship. The project
9th - 12th
Statistics
CCSS
HSS-ID.A.1
, HSS-ID.B.6
, HSS-ID.B.6a
+5
Correlation Project
This is a project I have done at the end of a Statistics unit in Algebra 1. Students survey at least 20 people with two quantitative questions and do a correlation study. The students make a scatter plot and find the line of best fit. Then, they find the linear regression and r value in a calculator and interpret them.
9th - 11th
Algebra, Algebra 2, Statistics
CCSS
HSS-ID.B.6
, HSS-ID.B.6a
, HSS-ID.B.6c
+3
Linear and exponential function best fit line for US Forever Postage Project
In this project, students are asked to research the history of USPS and find historic data of US forever stamp prices for the past 50 years. They are asked to use the data to create a scatter/plot (time series) and create a line of best fit. They are asked to create both a linear model and an exponential model, and compare which of the two models is a better for the data collected. Then they would use the best fit line to make prediction of future postage.
Rubric of this project is also attache
10th - 12th, Adult Education, Higher Education
Algebra 2, Applied Math, Statistics
Drop It Like It’s Math The Barbie Bungee Challenge
In this hands-on, real-world math activity, students take on the role of entrepreneurs creating a proposal for their own bungee jump company. Working in teams, they brainstorm a company name and business goals, then experiment by dropping a Barbie doll with increasing numbers of rubber bands to simulate a bungee jump. Students collect and analyze data, calculate averages, create scatterplots, and use technology to generate a line of best fit. Using linear regression, they make predictions to
8th - 12th
Algebra, Algebra 2, Statistics
Data Collection and Analysis Project - 1 and 2 Variable Statistics | Algebra
Looking for a different kind of assessment for one-variable or two-variable statistics? This data collection and analysis cumulative project is a unique way to assess what your Algebra students have learned from their data unit. Students will collect data from their classmates about a variety of topics, then analyze the statistics, including measures of center and spread, histograms and boxplots, scatterplots, correlation coefficient, and line of best fit. This resource includes: ✅
8th - 11th
Algebra, Statistics
CCSS
HSS-ID.A.1
, HSS-ID.A.2
, HSS-ID.A.3
+4
Circle Graph Project - project or online activity
This project is perfect for introducing Circles OR at the end of the chapter of Circles to review! Could also be used when studying probability & statistics. You can customize this project to however you would like! Could ask students to make their graphs using Google Sheets as well. **Can be used as an online activity or group project. You can earn FREE TPT money by leaving reviews on any paid resources! You will see the balance show up the next time you check out! Also, be sure to check out
6th - 12th
Geometry, Math, Statistics
Statistics (Linear Regression Project)
This project is designed to summarize a linear regression unit. I use it as half of students' end of unit summative assessment for an introductory statistics course. In groups of up to 3 students, they use these questions to create an in class presentation. I grade the projects as students present them. This unit introduces students to linear regression using vocab words such as scatter plot, explanatory variable, response variable, regression, interpreting slope and y-intercept, correlation coe
9th - 12th
Algebra, Algebra 2, Statistics
Tootsie Pop Activity w/ MMM, Stem and Leaf, Frequency Tables and Histograms
I would recommend using mini-Tootsie Pops so it doesn't take the kids forever to get to the center. I had them stop as soon as they saw any part of the center.
This activity gather data as a class and then students use the data to create a stem and leaf plot, frequency table and histogram. Student will also find mean, median, mode and range.
See my free download, "Tootsie Pop PowerPoint for a hook to get the kids started on this activity :-)
6th - 8th
Graphing, Math, Statistics
Predicting the 2020 Olympics with Linear Regression
This product will walk students through using real-life data to find the best fit line in Desmos. Students will choose a country to predict how many medals that country will win in the Tokyo Olympics based on past performance. New vocabulary such as the correlation coefficient is used to analyze the data once the students have used linear regression to find the best fit line. The data is included in a separate free product listed here: DataQuestions include: -What does x represent? -Is there a
7th - 10th
Algebra, Math, Statistics
CCSS
HSF-IF.B.6
Let's Go Bowling Statistics STEM Project & Field Trip (3-12 and AP Stat)
Great END OF YEAR project. Get ready to strike up some fun with your students on a field trip to the bowling alley or right in your own hallway with a plastic bowling set! This isn't just any ordinary field trip - it's a real-world data collection extravaganza. 3 different leveled rubrics (Grade 4-10, Statistics, AP Statistics) so students can analyze the data based on their math knowledge. Students will be able to practice creating and analyzing graphical displays, scatterplots, construct c
Not Specific
Math, Statistics
CCSS
4.MD.B.4
, 6.SP.A.1
, 6.SP.A.2
+12
Also included in: Elementary Math Bundle No Prep ( 29 Projects, Activities and More)
Experimental versus Theoretical Probability Activity
Probability and Statistics Activity for testing Experimental and Theoretical Probabilities in the classroom. Can be completed in groups or individually. Students will pull "tiles" from a bag or box or any container available, and write their findings down. Using this data, they will answer probability questions about their experiment. Students will then empty their container of "tiles" and count the actual amount of tiles. Using this data, the students will answer probability questions about th
Math, Other (Math), Statistics
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