**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 Curver

**Online Assignments**- Chapter 6 Reading: Pages 150 - 160 (Stop before Correlation Table) & Answer online questions
- Chapter 6 Reading: Pages 160 - 166 & Answer online questions

**Assessments**- Chapter 6 Quiz - Thursday, October 4th

**Documents** Chapter 6 Notes Outline | |

File Size: | 195 kb |

File Type: |

Videos |
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

**Online Assignments**- 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

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**Assessments**- Unit 2 Test A (Chapter 6 & 7) - Wednesday, 10/17

**Documents** Chapter 7 Notes | |

File Size: | 212 kb |

File Type: |

VideosUnderstanding Regression (above)Understanding R-squared (above)Slope & Y-intercept (above)Chapter 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.

**Online Assignments**- Read Chapter 8 Pages 209 - 221 & Answer online questions
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**Documents** Chapter 8 Notes | |

File Size: | 144 kb |

File Type: |

VideosWhat can go wrong? (above)Step-by-Step Example - Page 219 (above) |
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)

**Online Assignments**- Read Chapter 9: Pages 232 - 236 (stop after Example) and answer online questions
- Read Chapter 9: Pages 236 - 246 and answer online questions

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**Documents** Chapter 9 Notes | |

File Size: | 212 kb |

File Type: |

Videos |
Vocabulary |