Math Example--Linear Function Concepts--Linear Data Model: Example 3

Topic

Linear Functions

Description

This image displays a table with "Hours Spent Studying" and "Test Score" data. There is a scatterplot with a linear regression line labeled y = 37.2035x + 5.63679. The correlation coefficient (r) is 0.882594, showing strong positive correlation between hours studied and test scores. The steps describe how to input data into TI-Nspire to create a scatterplot, find the regression equation y = 37.2035x + 5.63679, and analyze the correlation coefficient (r = 0.882594). The process involves linking spreadsheet data, generating a scatterplot from it, finding the regression line, and interpreting the strength of the relationship between hours studied and test scores. These worked examples focus on real-world data modeled as linear relationships, reinforcing key concepts.

Linear functions represent relationships where the change is constant. These examples provide practice with organizing, interpreting, and analyzing data in tables and graphs. By studying these examples, students build the foundational understanding necessary for modeling real-world scenarios.

Seeing multiple worked-out examples is essential for students to understand concepts deeply. Each example reinforces the concept by showing a different perspective or application, making abstract ideas tangible.

Teacher Script: Let’s look at this example of a linear relationship. Notice how the data in the table shows a consistent change in values. For instance, This image displays a table with "Hours Spent Studying" and "Test Score" data. What patterns can you identify, and how do they relate to the equation of a line?

For a complete collection of math examples related to Linear Functions click on this link: Math Examples: Linear Data Models Collection.