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Ch 58: PLACE Mathematics: Regression & Correlation

About This Chapter

We can help you review the statistical procedures of regression and correlation. Our video lessons and self-assessment quizzes give you multiple approaches to help you correctly answer these types of questions on the PLACE Mathematics exam.

PLACE Mathematics: Regression and Correlation - Chapter Summary

You can use the lessons in this chapter to aid your recollection of information on regression and correlation in preparation for the PLACE Mathematics exam. The videos cover the following material to help you with these types of questions on the exam:

  • Creating and interpreting scatterplots
  • Simple linear regression
  • Problem solving using linear regression
  • Analyzing residuals
  • The correlation coefficient
  • Correlation vs. causation
  • Transforming nonlinear data

Instructors review all the important material, highlighting the points you need to know for the test. You can choose to watch the videos or read the corresponding text lessons, enabling you to select the approach that helps you to absorb the material more quickly and easily.

Objectives of the PLACE Mathematics: Regression and Correlation Chapter

The PLACE Mathematics exam is a multiple-choice test that evaluates your knowledge and comprehension of foundations of mathematics, functions and relations, measurement and geometry, probability and statistics and calculus and discrete mathematics. The Regression and Correlation chapter is part of the Probability and Statistics section of the exam, which makes up 19% of the test questions. By answering the questions on the self-assessment quizzes, you can check on your knowledge and get a good idea of the kinds of questions that will be asked on the actual test.

7 Lessons in Chapter 58: PLACE Mathematics: 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

Other chapters within the PLACE Mathematics: Practice & Study Guide course

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