NY Next Generation Math AII-S.ID.6

AII-S.ID.6 is a cluster heading. These are the individual standards under it.

• AII-S.ID.6.a

  Fit a function to real-world data; use functions fitted to data to solve problems in the context of the data.

01

What Students Need to Do

Students plot paired quantitative data from the same subjects and describe direction, form, strength, and unusual points without inferring causation. They fit quadratic, exponential, or power regressions to real-world data and use models to answer contextual questions.

02

What Mastery Looks Like

The student creates an accurate scatter plot, describes its pattern, and fits a justified model with technology. A contextual prediction includes units, acknowledges model limits, and avoids unsupported causal claims.

03

Common Misconceptions

Students may pair values from different subjects, connect points, or claim association proves causation. They may choose regression from a displayed statistic alone or extrapolate far beyond the observed data.

04

How to Assess It

Give paired real-world data from ten subjects. Ask students to create a scatter plot, describe the association, fit and justify a quadratic, exponential, or power model, make one contextual prediction, and identify one causal conclusion the data cannot support.

1. 01

   Use paired student-data cards to build a floor scatter plot while keeping each subject's values together.

2. 02

   Ask what evidence would be needed before turning an association into a causal claim.

3. 03

   Play model-selection match with scatter plots, residual patterns, and quadratic, exponential, or power regressions.

4. 04

   Fit a model to paired real-world data, make one contextual prediction, and discuss its practical limits.

• NY-8.SP.2

  Understand that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, i...

• NY-8.SP.1

  Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as cl...