## ◂Math Worksheets and Study Guides Eighth Grade. Linear relationships

### The resources above correspond to the standards listed below:

#### West Virginia College and Career Readiness Standards

WV.M.8.SP. Statistics and Probability
Investigate patterns of association in bivariate data.
M.8.26. 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.
WV.M.1HS8. 8th Grade High School Mathematics I
Linear and Exponential Relationships
Represent and solve equations and inequalities graphically.
M.1HS8.11. Graph the solutions to a linear inequality in two variables as a half-plane (excluding the boundary in the case of a strict inequality) and graph the solution set to a system of linear inequalities in two variables as the intersection of the corresponding half-planes.
Descriptive Statistics
Summarize, represent, and interpret data on a single count or measurement variable.
M.1HS8.41. 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.
Summarize, represent, and interpret data on two categorical and quantitative variables.
M.1HS8.45. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
M.1HS8.45.c. Fit a linear function for scatter plots that suggest a linear association.
WV.M.A18. High School Algebra I for 8th Grade
Linear and Exponential Relationships
Represent and solve equations and inequalities graphically.
M.A18.18. Graph the solutions to a linear inequality in two variables as a half-plane (excluding the boundary in the case of a strict inequality), and graph the solution set to a system of linear inequalities in two variables as the intersection of the corresponding half-planes.
Descriptive Statistics
Investigate patterns of association in bivariate data.
M.A18.43. 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.
Summarize, represent, and interpret data on two categorical and quantitative variables.
M.A18.47. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
M.A18.47.c. Fit a linear function for scatter plots that suggest a linear association.