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
Data Analysts looking to understand linear regression more completely



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