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Scatterplot and Trend Lines

5+ results
Preview of Bivariate Data: Regression Lines

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
Preview of Scatter Plots and Trend Lines

Scatter Plots and Trend Lines

Students will gather data to create a scatter plot. They will learn how to create trend lines for scatter plots and determine the correlation that exists between two sets of data.
Preview of French Fry Scatter Plot & Best Line of Fit

French Fry Scatter Plot & Best Line of Fit

Students will compare the nutritional values and serving sizes of french fries from various fast food restaurants. Based on this information, they will create scatter plots, best lines of fit and the equation of the trend line. Using the equation, they will estimate the unknown values of kid meals and supersized portions of french fries.
Preview of Coordinates and Scatter Plots Powerpoint

Coordinates and Scatter Plots Powerpoint

Includes a starter with graphing and connecting points, a review of the coordinate plane, a guessing game, a survey activity to make a class scatter plot, overview of scatter plots, trend lines, making predictions, errors, and an opportunity to make your own scatter plot. Made for an 8th grade class.
Preview of AP Statistics LSRL Activity - Is LSRL appropriate?

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
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