 # Exponential Regression

## Presentation on theme: "Exponential Regression"— Presentation transcript:

Exponential Regression

Copy the table below your notebook and then graph the points
Week Weight 50 1 38 2 30 3 25 4 22 5 20

Find an exponential function to fit the data.
Week Weight 50 1 38 2 30 3 25 4 22 5 20 38÷50=0.76 30÷38=0.789 25÷30=0.833 etc

Exponential Regression
The relation between  values of x and values of y, from which the value of y can be predicted for any value of x.

Entering data into your TI 84

CLEAR! ENTER!

Step 1. Enter the data in the calculator lists
Step 1.  Enter the data in the calculator lists.  Place the data in L1 and L2.  STAT, #1Edit, type values into the lists

Step 2. Prepare a scatter plot of the data. Set up for the scatterplot
Step 2.  Prepare a scatter plot of the data.  Set up for the scatterplot.  2nd StatPlot - the first icon Choose ZOOM #9 ZoomStat.

Include the parameters L1, L2, Y1.
Step 3.  Have the calculator determine the line of best fit. STAT → CALC #4 LinReg(ax+b)      Include the parameters L1, L2, Y1. (Y1 comes from  VARS → YVARS, #Function, Y1)

Step 4.  Graph the line of best fit.
To get a predicted value within the window, hit TRACE, up arrow, and type the desired value.