Ch 56: TExMaT Master Mathematics Teacher 8-12: Regression & Correlation

About This Chapter

Prepare for the TExMaT Master Mathematics Teacher 8-12 exam with video lessons showing you how to interpret scatterplots and transform nonlinear data. Short quizzes are also included to test your understanding of these topics.

TExMaT Master Mathematics Teacher 8-12: Regression & Correlation - Chapter Summary

Brush up on your ability to analyze bivariate data with these short yet entertaining videos. Our expert instructors help get you ready for probability and statistics questions on the TExMaT Master Mathematics Teacher 8-12 exam with lessons on the following topics:

  • Uses of scatterplots
  • Simple linear regression
  • Methods for analyzing residuals
  • The correlation coefficient
  • Correlation vs. causation
  • Transformations of nonlinear data

This chapter includes several resources to help you quickly review key regression and correlation concepts, such as illustrated videos and transcripts with embedded links to supplementary text lessons. You can also take multiple-choice quizzes after each lesson and at the end of the chapter to see how much of the material you've absorbed.

TExMaT Master Mathematics Teacher 8-12: Regression & Correlation Chapter Objectives

The TExMaT Master Mathematics Teacher 8-12 exam includes a constructed-response assignment in addition to 90 multiple-choice questions. Around 14% of test items cover probability and statistics concepts. Use the lessons in this chapter to prepare for questions measuring your ability to use scatterplots, analyze bivarate data and transform nonlinear data sets.

Responses to these questions and those in the remaining five content domains are used to determine your preparedness for Texas's Master Mathematics Teacher Certification for grades 8-12.

7 Lessons in Chapter 56: TExMaT Master Mathematics Teacher 8-12: Regression & Correlation
Test your knowledge with a 30-question chapter practice test
Creating & Interpreting Scatterplots: Process & Examples

1. Creating & Interpreting Scatterplots: Process & Examples

Scatterplots are a great visual representation of two sets of data. In this lesson, you will learn how to interpret bivariate data to create scatterplots and understand the relationship between the two variables.

Simple Linear Regression: Definition, Formula & Examples

2. Simple Linear Regression: Definition, Formula & Examples

Simple linear regression is a great way to make observations and interpret data. In this lesson, you will learn to find the regression line of a set of data using a ruler and a graphing calculator.

Problem Solving Using Linear Regression: Steps & Examples

3. Problem Solving Using Linear Regression: Steps & Examples

Linear regression can be a powerful tool for predicting and interpreting information. Learn to use two common formulas for linear regression in this lesson.

Analyzing Residuals: Process & Examples

4. Analyzing Residuals: Process & Examples

Can you tell what's normal or independent and what's not? Sometimes, we need to figure this out in the world of statistics. This lesson shows you how as it explains residuals and regression assumptions in the context of linear regression analysis.

The Correlation Coefficient: Definition, Formula & Example

5. The Correlation Coefficient: Definition, Formula & Example

The correlation coefficient is an equation that is used to determine the strength of the relationship between two variables. This lesson helps you understand it by breaking the equation down.

Correlation vs. Causation: Differences & Definition

6. Correlation vs. Causation: Differences & Definition

When conducting experiments and analyzing data, many people often confuse the concepts of correlation and causation. In this lesson, you will learn the differences between the two and how to identify one over the other.

Transforming Nonlinear Data: Steps & Examples

7. Transforming Nonlinear Data: Steps & Examples

Sometimes we have data sets that we need to analyze and interpret, but it's difficult because the data is nonlinear. This lesson will teach you how to transform nonlinear data sets into more linear graphs.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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