Estimating equations of lines of best fit, and using them to make predictions

The  exercise appears under the 8th grade (U.S.) Math Mission. This exercise practices estimating the equation of a line of best fit through data points in a scatter plot then using the equation to make a prediction.

Types of Problems
There is one type of problem in this exercise:


 * 1) Which of these linear equations best describes the given model?: This problem displays a scatter-plot with several data points. The student is to find that fits the linear equation the data well.[[File:Estimating equations of lines of best fit, and using them to make predictions1.PNG|thumb|Find which of these linear equations best describes the given model.]]

Strategies
Basic knowledge of linear equations and finding the best line that fit is needed to ensure success while doing this exercise.
 * 1) Students need the slope and the y-intercept to find the equation of the linear model.

Real-life Applications

 * 1) As an element of design, lines can stand alone or be part of another graphic element. They are one of the building blocks of graphic design.