About This Chapter
Interpreting Linear Models - Chapter Summary
If you're interested in increasing you're knowledge of the process involved in interpreting linear models, you've reached the right place! This chapter offers definitions, formulas and examples of the correlation coefficient, causation and ways to interpret linear relationships. Completing this chapter can boost your knowledge of these concepts and ensure you're able to:
- Use data to interpret linear relationships
- Interpret the intercept and slope of a linear model
- Define the correlation coefficient
- Differentiate between correlation and causation
Enjoy access to quality lessons you can review from home or anywhere with an Internet connection. Instructors offer expert insights that make it easy for you to understand how to interpret linear models. Review the lessons at your leisure and revisit them as often as you'd like. When ready, assess your knowledge by taking short quizzes and a chapter exam. If you have questions about lesson topics, be sure to submit your questions to our experts.
1. Interpreting Linear Relationships Using Data: Practice Problems
Understanding linear relationships is an important part of understanding statistics. This lesson will help you review linear relationships and will go through three practice problems to help you retain your knowledge. When you are finished, test out your knowledge with a short quiz!
2. Interpreting the Slope & Intercept of a Linear Model
You've probably seen slope and intercept in algebra. These concepts can also be used to predict and understand information in statistics. Take a look at this lesson!
3. 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.
4. 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.
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Other chapters within the NY Regents Exam - Algebra I: Test Prep & Practice course
- Algebraic Units & Modeling
- Structure of Mathematical Expressions
- Polynomial Operations Basics
- Creating Equations, Inequalities & Expressions
- Solving & Graphing Equations & Inequalities
- Understanding Data Using Statistics
- Understanding Functions
- Interpreting, Analyzing & Graphing Functions
- Building Linear & Exponential Functions
- Basics of Rational & Irrational Numbers
- Quadratic & Polynomial Equations
- About the NY Regents Examinations
- NY Regents Exam - Algebra I Flashcards