**Oklahoma Academic Education Standards**. Linear relationships refer to two quantities that are related with a linear equation. Since a linear equation is a line, a linear relationship refers to two quantities on a line and their relationship to one another. This relationship can be direct or inverse. If y varies directly as x, it means if y is doubled, then x is doubled. The formula for a direct variation is y = kx, where k is the constant of variation. Read More...

with Math Worksheet Generator

Study GuideLinear relationshipsWorksheet/Answer key

Linear relationshipsWorksheet/Answer key

Linear relationshipsWorksheet/Answer key

Linear relationships

OK.PA. Pre-Algebra (PA)

PA.D. Data & Probability (D)

PA.D.1. Display and interpret data in a variety of ways, including using scatterplots and approximate lines of best fit. Use line of best fit and average rate of change to make predictions and draw conclusions about data.

PA.D.1.3. Collect, display and interpret data using scatterplots. Use the shape of the scatterplot to informally estimate a line of best fit, make statements about average rate of change, and make predictions about values not in the original data set. Use appropriate titles, labels and units.

OK.A1. Algebra 1 (A1)

A1.A. Algebraic Reasoning & Algebra (A)

A1.A.2. Represent and solve real-world and mathematical problems using linear inequalities, compound inequalities and systems of linear inequalities; interpret solutions in the original context.

A1.A.2.1. Represent relationships in various contexts with linear inequalities; solve the resulting inequalities, graph on a coordinate plane, and interpret the solutions.

A1.D. Data & Probability (D)

A1.D.1. Display, describe, and compare data. For linear relationships, make predictions and assess the reliability of those predictions.

A1.D.1.2. Collect data and use scatterplots to analyze patterns and describe linear relationships between two variables. Using graphing technology, determine regression lines and correlation coefficients; use regression lines to make predictions and correlation coefficients to assess the reliability of those predictions.

OK.A2. Algebra 2 (A2)

A2.D. Data & Probability (D)

A2.D.1. Display, describe, and compare data. For linear and nonlinear relationships, make predictions and assess the reliability of those predictions.

A2.D.1.2. Collect data and use scatterplots to analyze patterns and describe linear, exponential or quadratic relationships between two variables. Using graphing calculators or other appropriate technology, determine regression equation and correlation coefficients; use regression equations to make predictions and correlation coefficients to assess the reliability of those predictions.

Standards