Equations of Line of Best Fit
Equations of Line of Best Fit
Objectives
In this lesson, students will plot data and find the line of best fit. Students will:
· perform an experiment and create a scatter plot.
· graph lines of best fit and write the equations of lines of best fit.
Essential Questions
· How can we determine if two variables correlate linearly?
· How can we use data to make predictions about the future?
Vocabulary
· Correlation: A measure of the relationship between two variables. [IS.1 - Struggling Learners]
· Continuous: The representation of data for which no individual values other than a range between intervals can be established. Continuous data is usually associated with physical measurements such as growth.
· Discrete: The representation of data for which one-to-one correspondence is established between individual points of data and the medium of representation. Discrete representations are often associated with countable objects such as populations.
· Line of Best Fit: The line that most closely fits the bivariate data.
· Patterns: Regularities in situations such as those in nature, events, shapes, designs, and sets of numbers.
· Scatter plot: A graph of plotted points that show the relationship between two sets of data.
Duration
90–120 minutes/1–2 class periods
Prerequisite Skills
Materials
· Matching Stroop (rhymes with loop) Cards (M-A1-6-2_Matching Stroop Cards.doc)
· Not Matching Stroop Cards (M-A1-6-2_Not Matching Stroop Cards.doc)
· two Stopwatches (or other methods of keeping time) per group
· Stroop Lab Activity Sheet (M-A1-6-2_Stroop Lab Activity Sheet.doc)
· Stroop Lab Instructions (M-A1-6-2_Stroop Lab Instructions.doc)
· Stroop Lab Extension (M-A1-6-2_Stroop Lab Extension.doc)
· Calculate the Line of Best Fit Worksheet (M-A1-6-2_Calculate LOBF Worksheet and KEY.doc)
· Lesson 2 Exit Ticket (M-A1-6-2_Lesson 2 Exit Ticket and KEY.doc)
· rulers
· graph paper
Related Unit and Lesson Plans
Related Materials & Resources
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