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**Exponential Regression**

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**Copy the table below your notebook and then graph the points**

Week Weight 50 1 38 2 30 3 25 4 22 5 20

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**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

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**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.

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**Entering data into your TI 84**

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CLEAR! ENTER!

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**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

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**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.

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**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)

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**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.

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