About This Chapter
Regression Analysis - Chapter Summary
The lessons in this chapter are a quick and easy way to explore regression analysis. You'll go through the different ways data can be analyzed, how to problem solve using linear regression and more. Once you finish each lesson, the self-assessment quizzes make it easy to see if you understood key points. The lessons can be accessed whenever you like, using any computer or mobile device. Using this chapter, you can ensure you're ready to:
- Define and provide examples of regression analysis
- Share examples of simple linear regression
- List the steps involved in problem solving using linear regression
- Outline the process of analyzing residuals
- Discuss how regression analysis and multiple regression analysis is used in business
- Detail the process of creating a multiple regression analysis
- Exhibit knowledge of categorical variables in regression analysis
1. Regression Analysis: Definition & Examples
Watch this video lesson to learn about regression analysis and how you can use it to help you analyze and better understand data that you receive from surveys or observations. Learn what is involved in regression analysis and what to look out for.
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.
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.
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.
5. Using Regression Analysis in Business
Statistical analyses and models, like regression analysis, can be extremely helpful when businesses need to forecast their financials and product demand. In this lesson, we'll learn how regression analysis can help accomplish these goals.
6. Multiple Regression Analysis in Business: Uses & Examples
Regression analysis is a powerful statistical tool that can help remove variables that do not matter and select those that do. This lesson explores the use of a regression analysis to answer research questions in business.
7. How to Create a Multiple Regression Analysis
A multiple regression analysis is a statistical method that's used to compare the effects of multiple independent variables on a single dependent variable. Care must be taken when setting up the input data, and when analyzing the individual results.
8. Categorical Variables in Regression Analysis
A categorical variable is one that takes on non-numeric values such as gender or race. In this lesson, we look at coding of categorical variables using dummy numeric variables so that this data can be used in regression analysis.
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Other chapters within the Business 212: Business Statistics course
- Introduction to Business Statistics
- Introduction to Categorical Data
- Descriptive Statistics: Measurement
- Descriptive Statistics: Representation
- Measures of Dispersion in Business
- Measures of Association & Correlation in Business
- Probability for Business Statistics
- Probability Distributions for Business Statistics
- Sampling Methods for Statistics
- Confidence Intervals
- Hypothesis Testing in Business
- Analysis of Variance
- Nonparametric Methods in Statistics
- Understanding Business Forecasting
- Using Control Charts in Business