Math I · S-ID.6.a

Use scatter plots to represent two quantitative variables and fit functions to model relationships.

Use scatter plots to represent two quantitative variables and fit functions to model relationships.

Concept Statistics and Probability
Domain Interpreting Categorical and Quantitative Data
Problem Types

Problem Templates In This Objective

13 problem types are attached to this objective. The full web app handles practice, answers, hints, and walkthroughs.

Template 1

Create a scatter plot from paired data

4 variants
Template 2

Identify the direction of association in a scatter plot of two quantitative variables

4 variants
Template 3

Classify the overall form of a scatter plot as linear, exponential-like, or quadratic-like

4 variants
Template 4

Interpret the strength of association in a scatter plot

4 variants
Template 5

Identify an outlier in a scatter plot

4 variants
Template 6

Estimate a linear model from fit-line points

4 variants
Template 7

Fit an exponential-style model informally

4 variants
Template 8

Fit a quadratic-style model informally

4 variants
Template 9

Use a fitted model to predict an output from a given input

4 variants
Template 10

Decide whether a prediction from a scatter plot model is interpolation or extrapolation

4 variants
Template 11

Choose the most reasonable model type from a scatter plot or scatter-plot description

4 variants
Template 12

Interpret fitted model behavior in context

4 variants
Template 13

Assess whether a fitted model is appropriate

4 variants