Unit 2: Relationships Between Variables
Chapter 6: Scatterplots, Association, and Correlation
Learning Targets
- What is important to include when describing a scatterplot?
- What is the difference between an association and correlation?
- What is correlation, when is it used, how is it used, and what are important things to remember about correlation?
- Creating Scatterplots, Finding Correlation, Straightening a Curver
- Chapter 6 Reading: Pages 150 - 160 (Stop before Correlation Table) & Answer online questions
- Chapter 6 Reading: Pages 160 - 166 & Answer online questions
- Chapter 6 Quiz - Thursday, October 3rd
Documents
| Chapter 6 Notes Outline |
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Videos
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Vocabulary
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Chapter 7: Linear Regression
Learning Targets
- Understanding of what linear regression is, when it can be used, and how to create it from summary statistics, computer printouts, and graphing calculator functions.
- When given an equation for linear regression, you are able to describe the slope, y-intercept, and R2 in context of the problem.
- Understanding of how to use a linear regression equation to make predictions and understand when the predictions are not realistic.
- Understanding of what residuals are and why they are needed for linear regression.
- Regression Lines & Residual Plots
- Read Chapter 7, Pages 176 – 181 (Stop before Regression in Real Units) & Answer Questions
- Read Chapter 7, Pages 181 – 185 (Stop before Residuals Revisited) & Answer the Reading Questions
- Read Chapter 7, Pages 185 – 189 (Stop after Just Checking Problems) & Answer the Questions
- Read Chapter 7, Pages 189 – 198 & Answer the Reading Questions
- Unit 2 Test A (Chapter 6 & 7) - Wednesday, 10/16
| Chapter 7 Notes |
| Chapter 7 Practice |
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Videos
Understanding Regression (above)
Understanding R-squared (above)
Slope & Y-intercept (above)
Chapter 7 Step-by-Step Example Page 183
Chapter 7 Step-by-Step Example Page 191
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Vocabulary
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Chapter 8: Regression Wisdom
Learning Targets
Online Assignments
- When working with scatterplots, you understand what can be done when it is not straight and there are possible outliers.
- Understanding of when predications are appropriate or extrapolations.
- Understanding of how lurking variables, outliers, and influential points can affect a linear regression model.
Online Assignments
- Read Chapter 8 Pages 209 - 221 & Answer online questions
Documents
| Chapter 8 Notes |
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Videos
Understanding Influential Points
(click "view video") What can go wrong? (above)
Step-by-Step Example - Page 219 (above)
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Vocabulary
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Chapter 9: Re-expressing Data: Get it Straight!
Learning Targets
- Understanding of how to use predictions after re-expressing the data.
- Re-expressing models using your calculator (we will not be doing this)
- Read Chapter 9: Pages 232 - 236 (stop after Example) and answer online questions
- Read Chapter 9: Pages 236 - 246 and answer online questions
| Chapter 9 Notes |
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Videos
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Vocabulary
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