MA.912.DP.2.4
Fit a linear function to bivariate numerical data that suggests a linear association and interpret the slope and y-intercept of the model. Use the model to solve real-world problems in terms of the context of the data.
Example Problems
The image files captured by a drone have a mean size of with a standard deviation of .
What will be the mean of the distribution of file sizes in kilobytes?
equals .
What will be the mean of the distribution of file sizes in kilobytes?
equals .
The distribution of heights of the twelve-year-old boys on Tim's rugby team had a mean of and a standard deviation of .
What will be the mean of the distribution of heights in feet?
approximately equals .
What will be the mean of the distribution of heights in feet?
approximately equals .
A litter of newborn kittens had weights with a mean of and a standard deviation of .
What will be the mean of the distribution of weights in pounds?
approximately equals .
What will be the mean of the distribution of weights in pounds?
approximately equals .
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 modelsFitting a line to dataInterpreting slope of regression lineLine of best fit: smoking in 1945Estimating the line of best fit exerciseEstimating with linear regression (linear models)Interpreting y-intercept in regression model

1-on-1 AI tutoring aligned to MA.912.DP.2.4. 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 →