SPSS Linear Regression Complete Tutorial with PhD Professor

Description

In-depth modular class - learn only what you need! Includes optional modules for basics, advanced, & emergent problems.

Anyone can follow this step-by-step, end-to-end, in-depth tutorial for linear regression. The modular course covers all the possible pitfalls (well, pretty close), but in optional modules so you don't get bogged down with stuff you don't need.

I've poured all my consulting knowledge into this, even complex problems are covered in tremendous detail. However, you can skip the advanced information you don't need or want.

Topics Covered:

• Data Prep

• Missing Data

• Descriptive Statistics

• Checking Normality / Assumptions

• Variable Transformation

• Simple Linear Regression

• Multiple Linear Regression

• Univariate and Multivariate Outliers

• Interactions / Moderation

• Interpretation of Results

• Scatter Plots

• Line Graphs

• Graphing Interactions

• Multicollinearity

• Variable Centering

• Non-Linear Relationships

• Pre- & Post-Hoc Power Analysis

• Other Emergent Issues

What You Will Learn!

• SPSS Linear Regression for Business or Dissertation
• Visualizing Linear Regression Results
• Advanced topics like interactions and categorical predictors
• Dealing with data, distribution, and missing data problems
• Deep understanding of the process and meaning of the results

Who Should Attend!

• Graduate students completing thesis or dissertation
• Job-seekers interested in adding Linear Regression as a data analysis skill
• Academic researchers
• Psychology students interested in data analysis
• Data Analysts looking to understand linear regression more completely

TAKE THIS COURSE