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Welcome to Algebra 2!

Welcome to Algebra 2!. Get out your homework Get out catalogs Get out writing utensils Put bags on the floor Be quiet!!!. Curve Fitting with Linear Models. Section 2-7. Definitions. Regression is the statistical study of the relationship between sets of data

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Welcome to Algebra 2!

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  1. Welcome to Algebra 2! • 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

  2. Curve Fitting with Linear Models Section 2-7 2-7: Curve Fitting with Linear Models

  3. Definitions • 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

  4. Steps of Curve Fitting • 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

  5. Example 1 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

  6. Your Turn Use the graphing calculator to find and graph the equation of the best-fitting line. 2-7: Curve Fitting with Linear Models

  7. Assignment A2-2 • P. 146: #1, 3, 5 + 9, 10, 11 2-7: Curve Fitting with Linear Models

  8. Assignment A2-4 A2-6 • P. 146: #1, 3, 5 2-7: Curve Fitting with Linear Models

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