**Unit 2: Relationships Between Variables**

**Chapter 6: Scatterplots, Association, and Correlation**

**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?

**Calculator Processes**- Creating Scatterplots, Finding Correlation, Straightening a Curve

**Documents** Chapter 6 Notes Outline | |

File Size: | 195 kb |

File Type: |

VideosChapter 6 NotesCorrelation Review/Summary Skew the Script, Lesson 3.1 |
Vocabulary |

**Chapter 7: Linear Regression**

**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.

**Calculator Processes**- Regression Lines & Residual Plots

**Documents** Chapter 7 Notes Handout | |

File Size: | 372 kb |

File Type: |

VideosChapter 7 Notes Part 1 - Linear Regression Intro & CalculatorChapter 7 Notes Part 2 - Linear Regression from Summary Stats Chapter 7 Notes Part 3 - Linear Regression from PrintoutSkew the Script - Lesson 3.2Skew the Script - Lesson 3.4Skew the Script, Lesson 3.5Understanding Regression Understanding R-squared Slope & Y-interceptChapter 7 Step-by-Step Example Page 183Chapter 7 Step-by-Step Example Page 191 |
Vocabulary |

__Chapter 8: Regression Wisdom__

**Learning Targets**- 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.
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**Documents** Chapter 8 Notes | |

File Size: | 144 kb |

File Type: |

VideosChapter 8 Notes & ExamplesWhat can go wrong? Step-by-Step Example - Page 219 |
Vocabulary |

__Chapter 9: Re-expressing Data: Get it Straight!__

**Learning Targets**- Understanding of how to use predictions after re-expressing the data.

**Calculator Skills**- Re-expressing models using your calculator (we will not be doing this)

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**Documents** Chapter 9 Notes | |

File Size: | 212 kb |

File Type: |

Videos |
Vocabulary |