1. Line of Best Fit Day 2 Linear model - a set of data from a real-life situation that can be represented by a line. In the linear model y = mx +b - m is the rate of change - b is the initial amount Objectives: 1.) Using the graphing Calculator to graph line of best fit 2.) Identifying Linear models 3.) Using interpolation and extrapolation to make predictions

2. Using the Graphing Calculator, graph total fat and total calories.

4. The table below shows the age and systolic blood pressure for a group of people who recently donated blood. Draw the line of best fit for this data. 1) Use the graphing calculator to graph age and blood pressure.

5. Which is more linear?

6. Two Types of Predicting 1. Linear Interpolation: Estimate a point that lies between two given points 2. Linear Extrapolation: Estimate a point that lies to the right or left of given points.

7. 1.) Write a linear model for Television Advertising since 1995 2.) Use this linear model to make an estimate of the amount of money spent on advertising in 1996. 3.) Use the linear model to make a prediction for the amount of money spent on advertising in the year 2016.