Type:

Curriculum, Lesson Plan

Description:

In this lesson, students explore the relationship between age and height in order to help a hypothetical student predict his height in two years. Students will examine data that will enable them to create a scatterplot and approximate a line of best fit. The scatterplot and line of best fit will be used to predict height. The slope of the line of best fit will be interpreted in context.

Subjects:

  • Mathematics > General
  • Mathematics > Applied Mathematics
  • Mathematics > Data Analysis & Probability
  • Mathematics > Problem Solving
  • Mathematics > Statistics

Education Levels:

  • Grade 6
  • Grade 7
  • Grade 8

Keywords:

Statistics

Language:

English

Access Privileges:

Members

License Deed:

Creative Commons Attribution 3.0

Collections:

None
Update Standards?

CCSS.Math.Content.8.SP.A.1: Common Core State Standards for Mathematics

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: Common Core State Standards for Mathematics

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: Common Core State Standards for Mathematics

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

MA.8.CCSS.Math.Content.8.SP.A.1: Mathematics

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.

MA.8.CCSS.Math.Content.8.SP.A.2: Mathematics

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.

MA.8.CCSS.Math.Content.8.SP.A.3: Mathematics

Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
Curriki Rating
On a scale of 0 to 3
3
On a scale of 0 to 3

This resource was reviewed using the Curriki Review rubric and received an overall Curriki Review System rating of 3, as of 2012-04-01.

Component Ratings:

Technical Completeness: 3
Content Accuracy: 3
Appropriate Pedagogy: 3

Reviewer Comments:

In this activity, middle school students investigate the relationship between age and height. Students collect and record data, then construct a scatterplot and overlay a line of best fit in order to predict future height. Instead of using the students’ own data, students will look over height data from randomly selected females and draw inferences from that census data. This investigation follows the four components of statistical problem solving put forth in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report as well as the Common Core Standards for Mathematics (Grade 8). The teacher materials are detailed and clear. The lessons include a detailed overview and instructions, suggestions for student assessment and extensions, student handouts, and answer keys. This well-organized and thoughtfully prepared lesson is immediately useful in the middle school math / science classroom.
member-name
Curriki Review System
April 1, 2012

This lesson is part of the American Statistical Association’s STatistics Education Web (STEW). See more peer-reviewed lessons by visiting the larger collection of STEW Lesson Plans.

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