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Biblioteka

6.4 Exponential Regression

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Posljednje ažuriranje over 1 year ago
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OBJECTIVES & STANDARDS

Math Objectives

  • Use technology to find the exponential function that best fits a data set

  • Analyze how well a regression model fits a data set using r2 values

  • Use regression models to summarize trends and make predictions

Common Core Math Standards

  • Link to all CCSS Math

  • CCSS.HSS.ID.B.6.A

  • CCSS.HSF.LE.A.2

  • CCSS.HSF.LE.B.5

Personal Finance Objectives

  • Analyze long-term trends in the stock market

  • Use exponential regression to summarize trends for different portfolios, funds, and asset types

National Standards for Personal Financial Education

Investing

  • 3b: Investigate the long-run average rates of returns on small-company stocks, large-company stocks, corporate bonds, and Treasury bonds

DISTRIBUTION & PLANNING

Distribute to students

  • Student Activity Packet

  • Application Problems

Intro/Warm-Up:
Learn It
Practice It
Desmos:
Application Problems
Level 2
12

OBJECTIVES & STANDARDS

Math Objectives

  • Use technology to find the exponential function that best fits a data set

  • Analyze how well a regression model fits a data set using r2 values

  • Use regression models to summarize trends and make predictions

Common Core Math Standards

  • Link to all CCSS Math

  • CCSS.HSS.ID.B.6.A

  • CCSS.HSF.LE.A.2

  • CCSS.HSF.LE.B.5

Personal Finance Objectives

  • Analyze long-term trends in the stock market

  • Use exponential regression to summarize trends for different portfolios, funds, and asset types

National Standards for Personal Financial Education

Investing

  • 3b: Investigate the long-run average rates of returns on small-company stocks, large-company stocks, corporate bonds, and Treasury bonds

DISTRIBUTION & PLANNING

Distribute to students

  • Student Activity Packet

  • Application Problems

GRAPH: Fahad’s Investment

The data points below represent the value of Fahad’s investment account over the last 15 years. Fahad wants to summarize the trends in his account, so he finds the line of best fit.

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Do you think the line of best fit gives you a good prediction? Why or why not?

Measuring Goodness of Fit

We can measure how well a model, like Fahad’s line of best fit, matches the data points given by using a statistical measure called r squared

Read the notes below and answer the questions that follow.

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In your own words, what does r^2 (r squared) tell you?

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Summarize: Looking at a graph, how might you know if a model had an r squared value close to 1?

Part I:

Part II: Fahad’s Investments and r squared

Let’s return to Fahad’s investment from the start of the lesson. Fahad used a linear regression model to explain his investment’s value, but we could also use an exponential model. Compare the models and answer the questions.

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What is the r^2 value of the linear model? What does that tell you?

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Which model is a better fit for the data set? Justify your response.

DESMOS: Exponential Regression in Investing

Link in google classroom

In earlier lessons, you learned how to find the line that best fits a data set using a linear regression model. We can do the same thing with exponential functions. Follow your teacher’s instructions to complete this Desmos activity which will be graded separetly in X2.

Part I: Robo Advisors

Robo advisors have been growing in popularity ever since they were first made available to the public approximately 15 years ago. The data points show how many billions of dollars were managed by robo-advisors each year since 2010 in the US. The curve is an exponential regression model for the data.

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Do you think this model provides an accurate prediction for the future? Why or why not?

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