Regression Analysis Fundamentals (2022)
1h 41mIntermediate2022-09-07
Authors
Franz Buscha
Professor of Economics at the University of Westminster
Madecraft
Full-Service Learning Content Company
Course details
If you’re a business professional, being able to effectively analyze and interpret data is an extremely valuable skill. You need to know the fundamentals of statistical analysis to monitor your performance and guide better decision-making. In this course, instructor Franz Buscha walks you through how to use regression analysis to evaluate data points and scale your business more deliberately with ease.
Leverage the power of regression analysis to drive data-driven decision-making. Find out how to critically examine the relationship between two or more statistical variables to articulate a value that you can use on the go. Get tips and tricks from Franz on using ordinary least squares, visualizing your findings for stakeholders, and taking advantage of statistical tools built into programs like Excel, SPSS, Stata, and R. By the end of this course, you’ll be prepared to apply regression analysis techniques to make more informed decisions and optimize your project and personnel performance.
Leverage the power of regression analysis to drive data-driven decision-making. Find out how to critically examine the relationship between two or more statistical variables to articulate a value that you can use on the go. Get tips and tricks from Franz on using ordinary least squares, visualizing your findings for stakeholders, and taking advantage of statistical tools built into programs like Excel, SPSS, Stata, and R. By the end of this course, you’ll be prepared to apply regression analysis techniques to make more informed decisions and optimize your project and personnel performance.
Skills covered
Data AnalysisEssential TrainingData ScienceBusiness Analysis and StrategyBusiness Software and Tools
Concepts
0. Introduction
- 01 - The value of analysis
1. Introduction to Regression Analysis
- 02 - Importance of regression analysis
- 03 - How regression analysis works
- 04 - What regression analysis looks like
- 05 - Types of regression analysis
- 06 - Correlation is not causation
2. Ordinary Least Squares
- 07 - Fitting lines on a scatter plot
- 08 - Ordinary least squares (OLS) regression
- 09 - Understanding BLUE
- 10 - Which conditions matter
- 11 - Why endogeneity matters most
- 12 - Goodness-of-fit statistics
- 13 - Using functional forms
3. OLS Tips and Tricks
- 14 - Visualizing coefficients
- 15 - Eyeballing hypothesis testing
- 16 - Reading indicator variables
- 17 - Making use of time
- 18 - Interpreting elasticities
4. Using Ordinary Least Squares
- 19 - Performing OLS in Excel
- 20 - Using SPSS for OLS
- 21 - Interpreting OLS with Stata
- 22 - Computing OLS using R
5. Applied Regression Analysis
- 23 - Evaluating car prices
- 24 - Exploring wage differences
Conclusion
- 25 - Time to analyze