Ms. Razor's Math Page
  • Home
  • Tutoring
  • Statistics
    • AP Exam Review
    • Unit 1: Exploring & Understanding Data
    • Unit 2: Exploring Relationships Between Variables
    • Unit 3: Gathering Data
    • Unit 4: Randomness & Probability
  • Geometry
    • Estimation
    • Measurement
    • Parallel Lines
  • Pre-Algebra/Algebra I
    • C4: Writing Linear Functions
    • C3: Graphing Linear Functions
    • C2: Working with Inequalities
    • C1: Solving Linear Equations
    • Unit A: Fractions
    • Unit B: Percents
    • Unit C: Integers & Operations
    • Unit D: Verbal Expressions & Like Terms
  • Algebra 2
    • Chapter 4: Polynomial Functions
    • Chapter 3: Quadratic Equations & Complex Numbers
    • Chapter 2: Quadratic Functions
    • Chapter 1: Linear Functions
    • Review Unit C: Systems of Equations
    • Review Unit B: Functions & Relations
    • Review Unit A: Equations
  • Home
  • Tutoring
  • Statistics
    • AP Exam Review
    • Unit 1: Exploring & Understanding Data
    • Unit 2: Exploring Relationships Between Variables
    • Unit 3: Gathering Data
    • Unit 4: Randomness & Probability
  • Geometry
    • Estimation
    • Measurement
    • Parallel Lines
  • Pre-Algebra/Algebra I
    • C4: Writing Linear Functions
    • C3: Graphing Linear Functions
    • C2: Working with Inequalities
    • C1: Solving Linear Equations
    • Unit A: Fractions
    • Unit B: Percents
    • Unit C: Integers & Operations
    • Unit D: Verbal Expressions & Like Terms
  • Algebra 2
    • Chapter 4: Polynomial Functions
    • Chapter 3: Quadratic Equations & Complex Numbers
    • Chapter 2: Quadratic Functions
    • Chapter 1: Linear Functions
    • Review Unit C: Systems of Equations
    • Review Unit B: Functions & Relations
    • Review Unit A: Equations
Ms. Razor's Math Page

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?
​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 3rd
Documents
Chapter 6 Notes Outline
File Size: 195 kb
File Type: pdf
Download File

Videos​
Vocabulary

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
​Assessments
  • Unit 2 Test A (Chapter 6 & 7)  - Wednesday, 10/16
Documents
Chapter 7 Notes
File Size: 212 kb
File Type: pdf
Download File

Chapter 7 Practice
File Size: 270 kb
File Type: pdf
Download File

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
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​
Documents
Chapter 8 Notes
File Size: 144 kb
File Type: pdf
Download File

Videos
Understanding Influential Points
(click "view video")
What 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
Documents​​
Chapter 9 Notes
File Size: 212 kb
File Type: pdf
Download File

Videos
Vocabulary