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Designing Effective Projects: Track the Trends
Doing the Math

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How to Do Exponential Regression on a TI-83 Graphing Calculator

The table at right gives the year and population (in millions) of California.

Year

Yrs Since 1890

X

CA Pop


Y

 

1890

0

1.21

  • Create a scatter plot using this data.

1910

20

2.38

  • Find the equation for the curve of best fit for the data.

1930

40

5.68

 

1950

60

10.59

 

1970

80

19.97

 

1990

100

29.76

STEP 1

enter data

To enter data, press STAT, 1:Edit and then enter data into columns L1 and L2. Press ENTER to move down. Use right and left arrow buttons to move to other column.

 

create scatter

Press 2nd, STAT PLOT, ENTER to create scatter plot.

Then move cursor to ON and press ENTER to activate scatter plot

and make sure the rest of the screen looks like this:

window screen

To set the scale of the x-axis and y-axis, press WINDOW. Change the settings to look like this:

 

 


To see your scatter plot, press GRAPH.

plot
 

calc testSTEP 2

Turn the diagnostics on in order to see the correlation coefficient (the measure of how close the equation is to the actual data). The closer to 1 it is, the better the match.

 

ExpReg
To find the curve of best fit, you will need to do exponential regression. Press STAT, then right arrow to highlight CALC, and then press 0:ExpReg .

 

run program

Press ENTER twice and the exponential regression program will be run. This is what your screen should look like. This means that the equation of the line of best fit is approximately y = 1.323 1.033x

The correlation coefficient is r, which is 0.994 in this case. That means that the equation is a 99.4% match to the data.

plot

To graph this line on your scatter plot, press Y= and enter 1.323*1.033^X

 

coordinate points
Then, press GRAPH to see the curve of best fit through the coordinate points.

 

 


Additional Example

These are the closing prices for the NASDAQ Stock Index at the end of February.

Year

Years Since 1992
(X)

Stock Index Price

(Y)

1992

 

633

1993

 

671

1994

 

793

1995

 

794

1996

 

1100

1997

 

1309

1998

 

1771

1999

 

2288

2000

 

4696

 

  1. If x = the number of years since 1992, complete the blank column above.
  2. Calculate the equation and correlation coefficient using the x and y columns.

    Equation y = _______________________ r = _________

  3. Using your equation, answer the following questions:
    1. The NASDAQ Stock Index will hit 10,000 in the year _________ .
    2. In the year 2017, the NASDAQ Stock Index will be ___________ .
    3. The NASDAQ Stock Index rises ________ percent per year.


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