Autograph Team - Scatter Plots

Share On Facebook

Share On Twitter

Share On Pinterest

Share On LinkedIn

Share On Microsoft Teams

Share On Facebook

Share On Twitter

Share On Pinterest

Share On LinkedIn

Share On Microsoft Teams

MrBartonMaths

Subject Math — Statistics and Probability

Grade Level Grades 6-8

Standards Alignment

Common Core State Standards

License

About This Lesson

A video from the Autograph team. It is possible to import a bivariate data set into Autograph but in this activity we are going to see how to create a dataset from points and we will then use that dataset to demonstrate least squared regression.Clicking on the web-link below takes you to all the videos in this series. Aligned to Common Core State Standards: 8.SP.1, 8.SP.2, 8.SP.3, 8.SP.4

Resources

External resources

http://www.mrbartonmaths.com/autographvideos.htm

Website

Videos

Scatter Diagrams

Standards

CCSS.Math.Content.8.SP.A.1

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

CCSS.Math.Content.8.SP.A.2

Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.

CCSS.Math.Content.8.SP.A.3

Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.

CCSS.Math.Content.8.SP.A.4

Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.