HSS-ID.C.8

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- HSS-ID.C.7Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.*
- HSS-ID.C.8Compute (using technology) and interpret the correlation coefficient of a linear fit.*
- HSS-ID.C.9Distinguish between correlation and causation.*

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## HSS-ID.C.8

## Compute (using technology) and interpret the correlation coefficient of a linear fit.*

22 Lesson(s)

### Scatterplots and Non-Linear Data

Algebra I »
Unit: Modeling With Statistics

Algebra I »
Unit: Modeling With Statistics

Big Idea:

#### In this lesson students discover that some bivariate data should not be modeled by linear functions. Other functions are considered.

Standards:

Favorites
(8)

Resources
(13)

### Got Ups? A Statistics Unit Task

Algebra I »
Unit: Modeling With Statistics

Algebra I »
Unit: Modeling With Statistics

Big Idea:

#### Students are able to demonstrate all that they have learned throughout the statistics unit in this open-ended performance task.

Standards:

Favorites
(21)

Resources
(15)

### Predicting the Height of a Criminal (Day 1 of 2)

Algebra I »
Unit: Linear Functions

Algebra I »
Unit: Linear Functions

Big Idea:

#### The fun part of this lesson is to introduce to students that the femur length of a person is directly proportional to their height.

Standards:

Favorites
(4)

Resources
(11)

### Predicting the Height of a Criminal (Day 2 of 2)

Algebra I »
Unit: Linear Functions

Algebra I »
Unit: Linear Functions

Big Idea:

#### On Day 2 students complete the analysis and compare prediction equations calculated by hand and on the TI-Nspire calculator.

Standards:

Favorites
(2)

Resources
(11)

### Analyzing Residuals

Algebra I »
Unit: Modeling With Statistics

Algebra I »
Unit: Modeling With Statistics

Big Idea:

#### So how good is your line of best fit? Students interpret residuals for a line of best fit using online applets.

Standards:

Favorites
(5)

Resources
(14)

Reflections
(1)

Big Idea:

#### Liars, Darn Liars, and Statisticians…but stats don’t really lie, they’re just easily manipulated.

Standards:

Favorites
(7)

Resources
(9)

### Our City Statistics Project and Assessment

Algebra I »
Unit: Our City Statistics: Who We Are and Where We are Going

Algebra I »
Unit: Our City Statistics: Who We Are and Where We are Going

Big Idea:

#### Students demonstrate interpersonal and data literacy skills as use statistics to learn about their community.

Standards:

Favorites
(10)

Resources
(17)

Reflections
(1)

Big Idea:

#### Too much data! Too many numbers! Use a frequency distribution to find the mean.

Standards:

Favorites
(2)

Resources
(11)

Big Idea:

#### What's normal, anyway? How does being normal have anything to do with mathematics?

Standards:

Favorites
(1)

Resources
(9)

### How does this fit? CalculatingCorrelation

Algebra I »
Unit: Our City Statistics: Who We Are and Where We are Going

Algebra I »
Unit: Our City Statistics: Who We Are and Where We are Going

Big Idea:

#### Students will using statistics to understand the goodness of fit for a linear model of bivariate data.

Standards:

Favorites
(2)

Resources
(14)

Reflections
(1)

### Understanding the Correlation Coefficient

Algebra I »
Unit: Data and Statistics

Algebra I »
Unit: Data and Statistics

Big Idea:

#### Students "uncover" the meaning of the correlation coefficient (r) by graphing and examining a variety of data sets.

Standards:

Favorites
(4)

Resources
(13)

Reflections
(1)

### Outliers and Outsiders: The Impact on Data

Algebra I »
Unit: Our City Statistics: Who We Are and Where We are Going

Algebra I »
Unit: Our City Statistics: Who We Are and Where We are Going

Big Idea:

#### Students real world relationships to gain understanding of the power of individual data points.

Standards:

Resources
(14)

Reflections
(1)

Big Idea:

#### You want me to subtract and square how many numbers?!? Make the process of managing data less crazy using a frequency distribution.

Standards:

Favorites
(1)

Resources
(13)

### Modeling with Non-Linear Data

Algebra I »
Unit: Modeling With Statistics

Algebra I »
Unit: Modeling With Statistics

Big Idea:

#### Oh No! I dropped all of my skittles on the floor…how many have the “s” up and how many do not? This is the beginning of the study into non-linear regression.

Standards:

Favorites
(2)

Resources
(11)

Reflections
(1)

### Linear Regression and Residuals

Algebra II »
Unit: Statistics: Two Variables

Algebra II »
Unit: Statistics: Two Variables

Big Idea:

#### Examining the size and distribution of errors made by a model can help us determine if the model is appropriate.

Favorites
(2)

Resources
(14)

Reflections
(1)

Common Core Math

### Kindergarten

### First Grade

### Second Grade

### Third Grade

### Fourth Grade

### Fifth Grade

### Sixth Grade

### Seventh Grade

### HS Number & Quantity

### HS Algebra

### HS Functions

### HS Geometry

### Kindergarten

### First Grade

### Second Grade

### Third Grade

### Fourth Grade

### Fifth Grade

### Sixth Grade

### Seventh Grade

### Eighth Grade

### Ninth and Tenth Grade

### Kindergarten

### First grade

### Second grade

### Third Grade

### Fourth grade

### Fifth grade

### Middle School

Kindergarten

First Grade

Second Grade

Third Grade

Fourth Grade

Fifth Grade

Sixth Grade

Seventh Grade

HS Number & Quantity

HS Algebra

HS Functions

HS Geometry

Kindergarten

First Grade

Second Grade

Third Grade

Fourth Grade

Fifth Grade

Sixth Grade

Seventh Grade

Eighth Grade

Ninth and Tenth Grade

Kindergarten

First grade

Second grade

Third Grade

Fourth grade

Fifth grade

Middle School