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Using Regression Analysis to Develop Algebraic Understanding KCTM Fall 2009 Conference Roland O’Daniel

Kctm Conference 09 Regression Analysis

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PowerPoint from my KCTM Conference Presentation October 2009.

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Page 1: Kctm Conference 09 Regression Analysis

Using Regression Analysis to Develop

Algebraic Understanding

KCTM Fall 2009 ConferenceRoland O’Daniel

Page 2: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Standards for the Presentation

Participants will understand how to create learning experiences that:

• Make connections and develop a framework for algebraic reasoning

• Identify and describe patterns in data using functions that approximate the data.

• Flexibly move between multiple representations of functions to model mathematical ideas, solve problems, and communicate understandings.

Page 3: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Where do you see algebra outside of your classroom?

Page 4: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Page 5: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

When looking for a data source, what are you looking for?

Page 6: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

GRE Score Concentrations in 28 Fields of PhD Study

Page 7: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Cost/month in US $

Electricity Gas

Page 8: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

U.S. Origin Patent Data

0 5 10 15 20 25 3030000

40000

50000

60000

70000

80000

90000

100000

Years Since 1980

Pat

ents

in

Th

ou

san

ds

Page 9: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Height of teachers in schoolH

eig

ht

in c

ms

60 65 70 75 80150

160

170

180

190

200

210

f(x) = 2.56873978184328 x − 1.788905737173

Height in inches

Page 10: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Finding a Source of Data• Gather your own!

– Measure/CBR/Go Motion

• Swivel– http://www.swivel.com/graphs

• The Numbers– http://www.the-numbers.com/charts/thisweek.php

• ZIPskinny – http://zipskinny.com/

Page 11: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Example 1

Page 12: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Determining a Relationship

• Choose the tool you wish to use– TI graphing calculator– Excel spreadsheet

• Create a representation of the data set

• What are the kinds of questions that we can ask students regarding the representation of data?

Page 13: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Titanic W.B.O. Gross 12/97- 3/98Date Weekend B.O. Gross

12/19/1997 1 $28,638,131 12/26/1997 2 $35,455,673

1/2/1998 3 $33,315,278 1/9/1998 4 $28,716,310

1/16/1998 5 $36,014,544 1/23/1998 6 $25,238,720 1/30/1998 7 $25,907,172

2/6/1998 8 $23,027,838 2/13/1998 9 $32,876,424 2/20/1998 10 $21,036,343 2/27/1998 11 $19,633,056

3/6/1998 12 $17,605,849

Page 14: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Titanic Weekend Box Office Gross December ‘97 thru March ‘98

What questions do you have about the graphs? What information, is necessary for the graphs to be more understandable?

Page 15: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Researching a Data Set: Titanic WBO Gross 12/97-3/98

1 3 5 7 9 11 13$15,000,000

$20,000,000

$25,000,000

$30,000,000

$35,000,000

$40,000,000

f(x) = − 1283924.11188811 x + 35634284.8939394R² = 0.548253054622562

Why do these points behave differently?

1/16/98

2/13/98

12/19/97

Page 16: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Creating a Regression Analysis• Identify regression equation• Display trend line and data set• Interpolate/Extrapolate

– Trace function– Point of intersection

• What is interesting to you? What is connects to what you have already studied/taught?

• What questions can we ask?

Page 17: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Kinds of Tasks/Questions to Ask• Describe what the values in the regression

equation mean in terms of this problem.

• What does ( , ) mean in terms of this data?• What would happen to the model if the data

were changed by ….?

• Compare trend lines…

Page 18: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

What did we find?

How can we use it?

Page 19: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Example 2

Page 20: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

What’s the problem here?

How can you handle this kind of problem?

y= -3,107,000 x + 16,063,000r2 = 0.9442

Page 21: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

0 1 2 3 4 5 6 7$0

$2,000,000

$4,000,000

$6,000,000

$8,000,000

$10,000,000

$12,000,000

$14,000,000

$16,000,000

$18,000,000

$20,000,000

f(x) = 19159230.9629448 exp( − 0.436289780450987 x )R² = 0.983739067493835

Gross

Exponential (Gross)

Predicted Gross

Weekend Since March 20, 2009

y = 19,160,000∙0.646x

Page 22: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Another Example of a System

y1 = -1.3x + 305y2 = -0.31x + 248

What kind of questions could your students ask about this system?

Olympic Men 400 Meter Free Style Swimming Winning Times Since 1924

Page 23: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

1920 1930 1940 1950 1960 1970 1980 1990 2000220

230

240

250

260

270

280

290

300

310Men

Page 24: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Questions?

Next Steps?

Link to Presentation Materials:http://ctlonline.pbworks.com/Regression-Analysis

Page 25: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Photo Acknowledgements

LushTraffic JamHey, I'm all Bundled upDon’t Bother MeTodavía hay esperanzaBrooklyn Bridgemotion study experimentstopped in motionLadder of KnowledgeSteps to Knowledge

...-Wink-... (taking a break)

...-Wink-... (taking a break)

...-Wink-... (taking a break)

...-Wink-... (taking a break)Piulet (Daniel)NfalseyMonkeyc.netJarkkoSDegreezero2000Sanjibm

Page 26: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

What algebra do you see in this graph?

Page 27: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Number of Patents Granted in US by Origin

Year Year from 1980 U.S. Origin Foreign Origin

2008 28 92000 93244

2005 25 82586 75155

2000 20 97011 79072

1995 15 64510 49445

1990 10 52977 46243

1985 5 43393 33880

1980 0 40764 25455Full Data Set from Swivel.com

Page 28: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Notes

Page 29: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Titanic Data w/ Trend Line

0 2 4 6 8 10 12 14$10.00

$15.00

$20.00

$25.00

$30.00

$35.00

$40.00

f(x) = − 1.28392411188811 x + 35.6342848939394R² = 0.548253054622561

Page 30: Kctm Conference 09 Regression Analysis

The Collaborative for Teaching and Learning Regression Analysis

Roland O’Daniel September 2009

Patent Data with Trend Line

0 5 10 15 20 25 3030000

40000

50000

60000

70000

80000

90000

100000

f(x) = 2069.92939609236 x + 37148.3246003553R² = 0.857632250143874

U.S. OriginU.S. Origin

Years Since 1980

Pat

ents

in

Th

ou

san

ds