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Ch 57: ORELA Math: Regression & Correlation

About This Chapter

If you're in need of review of regression and correlation in preparation for the ORELA Mathematics test, you've come to the right place. Our expert instructors have put together brief, engaging video lessons and short quizzes to help you do just that.

ORELA Math: Regression and Correlation - Chapter Summary

Check regression and correlation off your review list by watching our video lessons. They've been created to be fun and brief yet thorough and effective. You can go back through them or easily jump between topics with them. Watch them anytime, anywhere - even on your mobile devices. Sneak in some review here and there and you'll be ready in no time for the ORELA Mathematics test. Let our subject-matter experts guide you through the essential topics of regression and correlation, such as:

  • How to create and interpret scatterplots
  • Simple linear regression
  • Steps to solving problems using linear regression
  • Process of analyzing residuals
  • The correlation coefficient
  • The differences between correlation and causation
  • Steps to transforming nonlinear data

Are you ready to prove your competency to teach math? Our videos and quizzes will give you the confidence you need on test day!

Objectives for the ORELA Math: Regression and Correlation Chapter

Oregon state uses the ORELA to determine the readiness to teach of aspiring math teachers. Our video lessons on regression and correlation were created to correlate and expound upon the objectives of the actual test. The ORELA Math test is computer-based and totals 150 multiple-choice questions. There are five main parts and questions about regression and correlation are likely to be found in the Statistics, Probability and Discrete Mathematics section, which constitutes about 19% of the test.

We know you want to get the best score possible, so let's review some regression and correlation!

7 Lessons in Chapter 57: ORELA Math: 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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Other chapters within the ORELA Mathematics: Practice & Study Guide course

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