Linear Models & Residuals / Regression Line of Best Fit - AP Statistics Notes
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Description
AP Stats Notes on LINEAR MODELS & RESIDUALS. Write the equation of a linear regression model from a list of data values and use step-by-step TI-84 Plus CE Calculator directions to find the equation of the Line of Best Fit / Least Squares Regression Line (LSRL). With formulas and the regression equation, calculate residuals (e), predicated values (y-hat), y-intercept, & slope of the linear model. Templates for “interpret in context” questions are also included! Great AP Stats Exam prep!
Aligns with AP College Board's updated 2019-2020 objectives and standards for AP Statistics Unit 2: Exploring Two-Variable Data.
WHAT’S INCLUDED IN THIS PRODUCT?
Lesson 2-5: Linear Models & Residuals
NOTES – 2 Pages, Blank Pages & Answer Key
TYPES OF PROBLEMS:
In this set of AP Statistics notes, students will learn to:
- Define the terms and formulas of linear model, predicted value (y-hat), residual (e), least squares regression line (LSRL) / line of best fit, the slope of a linear model, & the y-intercept of a linear model.
- Write the equation of a linear model from a list of data values.
- Calculate using formulas a predicated value (y-hat), residuals (e), the y-intercept of the LSRL, & the slope of the LSRL.
- Calculate using the regression equation a predicated value (y-hat), residuals (e), the y-intercept of the LSRL, & the slope of the LSRL.
- Find the equation of the least squares regression line (LSRL) / line of best fit in TI-84 Plus CE Calculator.
- Interpret in context a residual, the slope of the linear model, & the y-intercept of the linear model with templates.
Also included to make your Lesson-Planning easier…
- OBJECTIVES
- STANDARDS from updated 2019-2020 AP College Board Standards for AP Statistics Unit 2: Exploring Two-Variable Data.
- SUGGESTED HOMEWORK PROBLEMS from AP Statistics Textbook Stats: Modeling the World, AP Edition, 4e.
- TERMS OF USE for posting on online teaching sites like Blackboard or Moodle.
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