SPSS Linear Regression Complete Tutorial with PhD Professor

Includes visusalizations, interactions, assumptions, data issues, power analysis, outliers, and detailed interpretations.

What you'll 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

Requirements

College math

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

Who this course is for:

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