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
James Bialasik
Amherst, NY
Environment: Suburban
 
Big Idea:

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

 
Favorites (7)
 
Resources (13)
scatterplots and non linear data image
   

Got Ups? A Statistics Unit Task

Algebra I » Unit: Modeling With Statistics
Algebra I » Unit: Modeling With Statistics
James Bialasik
Amherst, NY
Environment: Suburban
 
Big Idea:

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

 
Favorites (19)
 
Resources (15)
hollywood ups
   

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

Algebra I » Unit: Linear Functions
Algebra I » Unit: Linear Functions
Rhonda Leichliter
Rogers, AR
Environment: Rural
 
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.

 
Favorites (3)
 
Resources (11)
femur to height
   

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

Algebra I » Unit: Linear Functions
Algebra I » Unit: Linear Functions
Rhonda Leichliter
Rogers, AR
Environment: Rural
 
Big Idea:

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

 
Favorites (2)
 
Resources (11)
ti nspire
   

Analyzing Residuals

Algebra I » Unit: Modeling With Statistics
Algebra I » Unit: Modeling With Statistics
James Bialasik
Amherst, NY
Environment: Suburban
 
Big Idea:

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

 
Favorites (5)
 
Resources (14)
 
Reflections (1)
analyzing residuals image
   

Intro to Stats

Algebra II » Unit: Statistics
Algebra II » Unit: Statistics
Merrie Rampy
Craigmont, ID
Environment: Rural
 
Big Idea:

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

 
Favorites (5)
 
Resources (9)
people on globe
   

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
Jason Colombino
Salem, MA
Environment: Urban
 
Big Idea:

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

 
Favorites (9)
 
Resources (17)
 
Reflections (1)
img 5153
   

In the Middle

Algebra II » Unit: Statistics
Algebra II » Unit: Statistics
Merrie Rampy
Craigmont, ID
Environment: Rural
 
Big Idea:

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

 
Favorites (2)
 
Resources (11)
middle
   

What's Normal

Algebra II » Unit: Statistics
Algebra II » Unit: Statistics
Merrie Rampy
Craigmont, ID
Environment: Rural
 
Big Idea:

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

 
Favorites (1)
 
Resources (9)
normal curves
   

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
Jason Colombino
Salem, MA
Environment: Urban
 
Big Idea:

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

 
Favorites (2)
 
Resources (14)
 
Reflections (1)
img 5177
   

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
Jason Colombino
Salem, MA
Environment: Urban
 
Big Idea:

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

 
Resources (14)
 
Reflections (1)
img 5181
   

Understanding the Correlation Coefficient

Algebra I » Unit: Data and Statistics
Algebra I » Unit: Data and Statistics
Amanda Hathaway
Boston, MA
Environment: Urban
 
Big Idea:

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

 
Favorites (3)
 
Resources (13)
 
Reflections (1)
correlation
   

Modeling with Non-Linear Data

Algebra I » Unit: Modeling With Statistics
Algebra I » Unit: Modeling With Statistics
James Bialasik
Amherst, NY
Environment: Suburban
 
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.

 
Favorites (2)
 
Resources (11)
 
Reflections (1)
modeling w non linear image
   

How's Your Spread

Algebra II » Unit: Statistics
Algebra II » Unit: Statistics
Merrie Rampy
Craigmont, ID
Environment: Rural
 
Big Idea:

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

 
Favorites (1)
 
Resources (13)
spread
   

Linear Regression and Residuals

Algebra II » Unit: Statistics: Two Variables
Algebra II » Unit: Statistics: Two Variables
Colleen Werner
Ipswich, MA
Environment: Suburban
 
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)
01 12 2015 image001
Common Core Math
 
Something went wrong. See details for more info
Nothing to upload
details
close