In this Algebra Application, students examine the music industry, specifically the rise of Korean pop music, or K-Pop. Using industry data students examine tables and graphs of categorical data before identifying possible functional relationships. A mathematical model is developed to explore the relationship between viral videos and sales.

In this Algebra Application, students examine the budding industry of commercial space travel. Using data from the Bureau of Transportation Statistics, students build a mathematical model from historical airfare data. This model is used to predict when commercial space travel will become affordable.

In this Investigation we look at a linear regression for carbon dioxide emission data.

This video is Segment 3 of a 4 segment series related to Algebra Nspirations: Linear Functions. Segments 3 and 4 are grouped together. To access Algebra Nspirations: Linear Functions, Segment 4, click the following link:

The potential for oil exploration in the controversial Alaska National Wildlife Refuge (ANWR) sets the scene for this problem. A linear regression of oil consumption data over the past 25 years reveals an interesting pattern. How could new oil fields like ANWR help in breaking our dependence on foreign oil? 

In this Investigation we look at a linear regression for carbon dioxide emission data. This video is Segment 3 of a 4 segment series related to Algebra Nspirations: Linear Functions. Segments 3 and 4 are grouped together.

This is part of a collection of definitions on the topic of probability and statistics.

This is part of a collection of definitions on the topic of probability and statistics.

This is part of a collection of math examples that focus on linear function concepts.

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This is part of a collection of math examples that focus on linear function concepts.

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This is part of a collection of math examples that focus on linear function concepts.

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Create a Slide Show

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This is part of a collection of math examples that focus on linear function concepts.

Note: The download is an image file.

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In this TI-Nspire CX tutorial learn how to perform a linear regression based on scatterplot data. Note: This video does not contain any audio.

This is the transcript for the video of same title. Video contents: In this episode of Algebra Applications, three real-world explorations of linear functions are developed: Sports. The relationship between slope and grade in cycling is explored. Oil Exploration. A linear regression of oil consumption data over the past 25 years reveals an interesting pattern.

This is the transcript for the video of same title. Video contents: The potential for oil exploration in the controversial Alaska National Wildlife Refuge (ANWR) sets the scene for this problem. A linear regression of oil consumption data over the past 25 years reveals an interesting pattern.

This is the transcript for the video of same title. Video contents: What are the two meanings of statistics? What does it really mean that an event has a 50% probability of occurring? Why are data analysis and probability always taught together? Written and hosted by internationally acclaimed math educator Dr.

This is the transcript for the video of same title. Video contents: In this Investigation we explore uncertainty and randomness.

This transcript corresponds to Segments 1 and 2 of Data Analysis and Probability. To view those videos click on the following links:

This is the transcript for the video of same title. Video contents: In this Math Lab a hands-on probability activity involving coins is explored.

This transcript corresponds to Segments 3 and 4 of Data Analysis and Probability. To view those videos click on the following links:

This is the transcript for the video of same title. Video contents: In this Investigation we look at a linear regression for carbon dioxide emission data.

This transcript corresponds to Segments 3 and 4 of Algebra Nspirations: Linear Functions. To view those videos click on the following links:

This video looks at the Line of Best Fit. A real-world data set is analyzed, from which a linear function in slope-intercept is derived. Students are shown how to find the line of best fit using a TI graphing calculator. Strategies for estimating the line of best fit are also explored. 

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The potential for oil exploration in the controversial Alaska National Wildlife Refuge (ANWR) sets the scene for this problem. A linear regression of oil consumption data over the past 25 years reveals an interesting pattern. How could new oil fields like ANWR help in breaking our dependence on foreign oil?