Montana Math MT.CORE.DATA.INT.6

MathGrades 9–12Visualizing, Summarizing, and Interpreting Data

Standard Cluster

Analyze the relationship between two quantitative data distributions in context that have a linear association. This standard should incorporate cultural context relating to Montana Indigenous Peoples and local communities by: Using technology strategically, represent two quantitative data distributions on scatter plots, Describing verbally how the variables are related, Using technology to find the least-squares regression line (line of best) fit for two quantitative variables, Understanding that the line of best fit minimizes the square of the residuals, and Understanding correlation as a measure of linear association and using technology, compute the correlation coefficient of a linear relationship.

2026 Montana Mathematics Content Standards · Data Reasoning and Probability

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MT.CORE.DATA.INT.6 is a cluster heading. These are the individual standards under it.

Teacher's field guide

What This Cluster Means

What Students Need to Do

Students use a spreadsheet to plot paired measurements as a scatterplot. They describe the linear pattern, find a regression line and correlation coefficient, and check how far points fall from the line.

What Mastery Looks Like

They keep measurements paired and describe the direction and strength of the pattern. They interpret the fitted slope and correlation in context. They can show that the fitted line has a smaller sum of squared vertical residuals than another line.

Common Misconceptions

Students sometimes pair readings from different dates, so each dot no longer represents one observation. They may treat a negative correlation as a weak relationship or assume correlation proves cause. Some think the fitted line minimizes horizontal gaps rather than squared vertical residuals.

How to Assess It

Give eight same-day pairs of Flathead Lake water and nearby air temperatures in a spreadsheet. Ask for a scatterplot, fitted line, correlation coefficient, and one sentence describing the relationship and what the line minimizes.

Lesson moves

Ways to Teach It

  1. Plot teacher-provided pairs of Flathead Lake water and nearby air temperatures with sticky notes on a wall grid, then check a spreadsheet scatterplot.

  2. Ask: Does a strong correlation between air and lake temperatures mean air temperature alone controls lake temperature? Name one other factor.

  3. In pairs, use a spreadsheet to compare two candidate lines by summing squared vertical residuals; award a point for finding the smaller total.

  4. On a Flathead Lake map, locate the Confederated Salish and Kootenai Tribes reservation and explain one limit of a lake temperature prediction.

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