Section 1
Linear model
Property
A linear model describes a variable that increases or decreases at a constant rate. It has the form
Examples
April's income is 200 dollars per week plus 9% commission on sales . Her income is .
In this Grade 8 lesson from Big Ideas Math Algebra 2, Chapter 1, students learn how to write equations of linear functions using slope-intercept form and point-slope form to model real-life situations such as straight-line depreciation and proportional relationships. Students also explore lines of fit, lines of best fit, and the correlation coefficient to analyze scatter plot data. The lesson builds on prior knowledge of slope and linear equations to solve practical problems involving rates of change and real-world contexts.
Section 1
Linear model
A linear model describes a variable that increases or decreases at a constant rate. It has the form
April's income is 200 dollars per week plus 9% commission on sales . Her income is .
Section 2
Applications of Linear Equations
Variables that increase or decrease at a constant rate can be described by linear equations. To model this, treat two related data pairs as points and . First, compute the slope (rate of change), then substitute the slope and either point into the point-slope formula to find the governing equation.
Real-world scenarios with a steady rate of change can be modeled using a linear equation. This allows you to make predictions by finding the line's equation from just two data points, like cost over time or distance versus speed.
Book overview
Jump across lessons in the current chapter without opening the full course modal.
Continue this chapter
Expand to review the lesson summary and core properties.
Section 1
Linear model
A linear model describes a variable that increases or decreases at a constant rate. It has the form
April's income is 200 dollars per week plus 9% commission on sales . Her income is .
Section 2
Applications of Linear Equations
Variables that increase or decrease at a constant rate can be described by linear equations. To model this, treat two related data pairs as points and . First, compute the slope (rate of change), then substitute the slope and either point into the point-slope formula to find the governing equation.
Real-world scenarios with a steady rate of change can be modeled using a linear equation. This allows you to make predictions by finding the line's equation from just two data points, like cost over time or distance versus speed.
Book overview
Jump across lessons in the current chapter without opening the full course modal.
Continue this chapter