A2.S.ID.B.4
Represent data from two quantitative variables on a scatter plot, and describe how the variables are related. Fit a function to the data; use functions fitted to data to solve problems in the context of the data.
Example Problems
Seth is collecting data on his height over the years.
Seth has created a scatter plot that shows the relationship between his height, , and the number of years, . He thinks the data might show a linear relationship.
What graph will show a linear relationship if Seth's data is indeed linear?
Seth has created a scatter plot that shows the relationship between his height, , and the number of years, . He thinks the data might show a linear relationship.
What graph will show a linear relationship if Seth's data is indeed linear?
Charles is collecting data on how many grapes his sister eats each day.
Charles has created a scatter plot that shows the relationship between the number of grapes his sister has eaten, , and the number of days, . He thinks the data might show a linear relationship.
What graph will show a linear relationship if Charles's data is indeed linear?
Charles has created a scatter plot that shows the relationship between the number of grapes his sister has eaten, , and the number of days, . He thinks the data might show a linear relationship.
What graph will show a linear relationship if Charles's data is indeed linear?
Ivy is dropping small steel balls from rest and is collecting data on how far they fall over time.
Ivy has created a scatter plot that shows the relationship between the distance fallen, , and the time, . She thinks the data might show that is a quadratic function of .
What graph will show a linear relationship if is indeed a quadratic function?
Ivy has created a scatter plot that shows the relationship between the distance fallen, , and the time, . She thinks the data might show that is a quadratic function of .
What graph will show a linear relationship if is indeed a quadratic function?
Khan Academy ResourcesEyeballing the line of best fitEstimating equations of lines of best fit, and using them to make predictionsEstimating slope of line of best fitInterpreting slope and y-intercept for linear modelsLine of best fit: smoking in 1945Estimating the line of best fit exerciseExponential vs. linear models: table

1-on-1 AI tutoring aligned to A2.S.ID.B.4. Instant help for students, real-time insights for teachers.
Used in classrooms by 100,000+ students at Baltimore County, Plano ISD, Deer Valley USD, KIPP, and districts nationwide.
Free for teachers, forever →