Georgia 8.FGR.6.4

Math8th GradeFunctional & Graphical Reasoning

The Standard

Use appropriate graphical displays from data distributions involving lines of best fit to draw informal inferences and answer the statistical investigative question posed in an unbiased statistical study.

Georgia's K-12 Mathematics Standards · Solve practical, linear problems involving situations using bivariate quantitative data.

Teacher's field guide

What This Standard Means

What Students Need to Do

Students choose or create a scatter plot for two quantitative variables, then use a reasonable line of best fit to describe the pattern. They answer the investigation question with an informal inference that fits the data and the study’s sampling limits.

What Mastery Looks Like

A student identifies direction, strength, and unusual points, then draws a line through the center of the data. The student makes a sensible estimate, states a conclusion in context, and avoids claiming causation or generalizing beyond the sampled group.

Common Misconceptions

Students may connect the points, force the line through the origin, or draw it toward an outlier instead of balancing the data cloud. They may treat association as causation, predict far beyond the data range, or generalize from a biased sample.

How to Assess It

Give students a scatter plot from a random sample showing study time and quiz score, with a best-fit line. Ask, “Estimate the score for 3 hours, describe the association, and state one conclusion the data supports but does not prove.”

Lesson moves

Ways to Teach It

  1. Measure classmates’ arm spans and heights, make a scatter plot, draw a best-fit line, and state one inference limited to the class.

  2. Compare two plots of the same data using different scales, then write which display supports a fairer conclusion and why.

  3. Match data cards to scatter plots and best-fit lines, then earn a point by answering the investigation question without overstating the evidence.

  4. Use a public weather dataset to examine temperature and electricity use, then explain what the trend could help a utility predict.

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