Write the project up as you would a science lab, sketching a picture for each step (letter) and showing your work. Scan your paper into your blog. Write a clear explanation of what you did using math vocabulary words. See An Example Student.

There are four options for this project:

**Option 1**

__Curve Fitting with Technology p156__**(8 people may choose this option)**

**CLOSED**

1. Go to http://weather.yahoo.com/

2. Find the high and low weather for ten cities.

3. Record the date and create a table like the table on page 156.

4. Chose 3 more cities and using the low temperature, use your regression equation to predict the high temperature.

5. Were your predictions correct?

6. How well does the regression equation model the data? Please mention the correlation coefficient in your answer.

Denise Man

Anna Chan

Band

Thanh

Kevin

Ravuth

Lionel

Ericka

Kevin

Ravuth

Lionel

Ericka

**Option 2**

__Exploration: Diagonals of a Regular Polygon p158__

**(4 people may choose this option) CLOSED**

1. Do the exploration on page 158

2. For # 6 chose one of the four options below:

a. Use the formula to find the number of diagonals of a 130-gon

b. Use the formula to find the number of diagonals of a 150-gon

c. Use the formula to find the number of diagonals of a 200-gon

d. Use the formula to find the number of diagonals of a 175-gon

Denny c

Davis b

Martha a

Joanna d

**Option 3**

__Chapter Opener Problem p159__

**(12 people may choose this option)**

1. Go to http://www.google.com/finance and type the name of your company to look up the price.

2. 1st type in the name, 2nd historical prices, 3rd click on monthly - get prices

2. 1st type in the name, 2nd historical prices, 3rd click on monthly - get prices

3. Over any 10 years (before 2010) record the prices for the same month. For example Oct 96, Oct 97, Oct 98 etc.

4. Use your regression equation to predict the prices for 2008, 2009, 2010.

5. Were your predictions correct?

6. How well does the regression equation model the data? Please mention the correlation coefficient in your answer.

**Option 4**

__Newton's Law of Cooling p163 #52__

**(any one may choose this option)**

**Option 5**

__Hourly Earnings of Production Workers p163__**(12 people may choose this option)**

1. Go to http://www.bls.gov/news.release/ichcc.t08.htm and choose a country.

2. Choose a country (email me with your choice).

3. Use the date to do # 50 a - e

4. Use both curves to predict the hourly earnings of workers for the year 2010.

5. How different are the estimates?

6. How well does the regression equation model the data? Please mention the correlation coefficient in your answer.

Dan - UK

Kerri - Italy

Vincent - Canada

Jessica - New Zealand

Trinh - ??

Jessica - New Zealand

Trinh - ??

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