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- Get out your homework
- Get out catalogs
- Get out writing utensils
- Put bags on the floor
- Be quiet!!!

2-7: Curve Fitting with Linear Models

Curve Fitting with Linear Models

Section 2-7

2-7: Curve Fitting with Linear Models

- Regression is the statistical study of the relationship between sets of data
- Scatterplot is a graph that helps understand the form, direction, and strength of the relation; individual points
- Correlation is the strength and direction of the linear relationship between two variables
- Correlation Coefficient is the measure of how well the data set is fit by through a model; represented by r
- -1 ≤ r ≤ 1
- Line of Best Fit is the line that best approximates a set of data

2-7: Curve Fitting with Linear Models

- Identify and list all of the data points
- Put data into calculator – use STAT key
- STAT CALC and select LinReg (ax + b) to get the equation

2-7: Curve Fitting with Linear Models

The table shows the U.S. daily oil production y (in thousands of barrels x years) after 1994.

- Use the graphing calculator to find and graph the equation of the best-fitting line.
- Use the equation from part (a) to predict the daily oil production in 2009.

2-7: Curve Fitting with Linear Models

Use the graphing calculator to find and graph the equation of the best-fitting line.

2-7: Curve Fitting with Linear Models

- P. 146: #1, 3, 5 + 9, 10, 11

2-7: Curve Fitting with Linear Models

- P. 146: #1, 3, 5

2-7: Curve Fitting with Linear Models