### General Information

**Subject Area:**Mathematics

**Grade:**912

**Domain-Subdomain:**Statistics & Probability: Interpreting Categorical & Quantitative Data

**Cluster:**Level 2: Basic Application of Skills & Concepts

**Cluster:**Summarize, represent, and interpret data on two categorical and quantitative variables. (Algebra 1 - Supporting Cluster) (Algebra 2 - Supporting Cluster) -

Clusters should not be sorted from Major to Supporting and then taught in that order. To do so would strip the coherence of the mathematical ideas and miss the opportunity to enhance the major work of the grade with the supporting clusters.

**Date Adopted or Revised:**02/14

**Date of Last Rating:**02/14

**Status:**State Board Approved

**Assessed:**Yes

### Test Item Specifications

MAFS.912.S-ID.3.8

MAFS.912.S-ID.3.9

**Assessment Limits :**

In items that require the student to interpret or use the correlation

coefficient, the value of the correlation coefficient must be given in

the stem.

**Calculator :**

Neutral

**Clarification :**

Students will represent data on a scatter plot.

Students will identify a linear function, a quadratic function, or an

exponential function that was found using regression.

Students will use a regression equation to solve problems in the

context of the data.

Students will calculate residuals.

Students will create a residual plot and determine whether a function

is an appropriate fit for the data.

Students will determine the fit of a function by analyzing the

correlation coefficient.

Students will distinguish between situations where correlation does

not imply causation.

Students will distinguish variables that are correlated because one is

the cause of another.

**Stimulus Attributes :**

Items should use real-world data and be set in a real-world context.

**Response Attributes :**

Items may require the student to apply the basic modeling cycle.

accuracy.

graph

Items may require the student to choose and interpret units..

### Sample Test Items (1)

Test Item # |
Question |
Difficulty |
Type |

Sample Item 1 | A company creates the equation y = 11.26x-76.1 to model the relationship between the number of pages in its catalog and the number of orders, in thousands, that were received. To determine how well the equation models the relationship, the company plots the residuals as shown. Why is the equation not a good model for the relationship? Type your answer in the space provided. |
N/A | OR: Open Response |