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  • Methods101
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  • Administration
  • Teaching Schedule
  • Model Project
  • 1.0 Why study methods?
  • 1.1 Skills for Learning
  • 1.2 Parts of a Study
  • 2.0 Lit. Review
  • 2.1 Research Ethics
  • 3.0 Qualitative Data
  • 4.0 Quantitative Data
  • 4.1 - The Survey
  • 4.2 - Measurement
  • 5. Qualitative Analysis
  • 5.1 - Theory
  • 5.2 - Example
  • 5.3 - In Word
  • 5.4 - In Dedoose
  • 5.5 - Concepts
  • 6. The Experiment
  • 6.1 - Classical Experiments
  • 6.2 - Key Concepts
  • 6.3 - Types of Exp
  • 6.4 - Validity
  • 6.5 - Exercises
  • 7.0 Writing
  • 9.0 Qualtrics & SPSS
  • 9.3 Intro to Stats
  • 10. Bivariate Stats
  • 11. Cleaning Data
  • 12. Regression & Graphs
  • Presentation Preparation (Week 8)
  • Presentation Preparation (Week 13)
  • Practice mid-semester exam
  • Practice final exam
  • Feedback
  • FAQ
  • Projects: Files
  • Projects: Meetings
  • SPSS help: An Introduction
  • SPSS help: Running SPSS
  • SPSS help: How to Link Google Drive to AppStream
  • SPSS help: Import your data
  • SPSS help: Concept sheet
  • SPSS help: Online resources
  • SOCI2000 Workshop 1: Descriptive statistics
  • SOCI2000 Workshop 2: Correlation
  • SOCI2000 Workshop 3: T-test
  • SOCI2000 Workshop 4: Indexes
  • SOCI2000 Workshop 5: Linear Regression
  • SOCI2000 Workshop 6: Logistic Regression
  • SOCI2000 Workshop 7: Visualisation
  • Preparation for the Workshops
  • Workshop 1: Introducing SPSS
  • Workshop 2: Visualising Data
  • Workshop 3: Exploring 2012 AuSSA
  • Workshop 4: Recoding and Computing Variables
  • Workshop 5: Exploring NSW Crime Data
  • Workshop 6: Exploring Crime Rates in NSW
  • Workshop 7: Exploring the 2019 AuSSA Data
  • Workshop 8: Confidence Intervals and Hypothesis Testing
  • Workshop 9: Crosstabs and Chi-square
  • Workshop 10: Correlation
  • Workshop 11: Regression Analysis
  • Lab 1: Introducing R and RStudio
  • Lab 2: Creating Datasets
  • Lab 3: Playing with Variables
  • Lab 4: Recoding Variables
  • Lab 5: Univariate Statistics
  • Lab 6: Univariate Statistics 2
  • Lab 7: Normal Distribution & Confidence Intervals
  • Lab 8: Testing Hypothesis(t-test)
  • Lab 9: Crosstab & Chi-sqaure Test
  • Lab 10: Correlations & Simple Regression
  • Lab 11: Multiple Regression
  • Overview: Lessons
  • Overview Week 1
  • 1.1 Motivating Example
  • 1.2 Intro to SOCI832
  • 1.3 Intro to R
  • 2.0 Overview
  • 2.1 Intro to Research Methods
  • 2.2 Exercise
  • 2.3 Finding Article + Data
  • 3.0 Overview
  • 3.1 Intro to Stats
  • 3.2 Exercise: Concepts
  • 3.3 Univariate R
  • 3.4 Exercise: Code in R
  • 4.0 Overview
  • 4.1 Setup R
  • 4.2 Downloading Datasets
  • 4.3 Import and Codebook
  • 4.4 Plan Cleaning
  • 4.5 Recoding
  • 4.6 Descriptive Stats
  • 5.0 Overview
  • 5.1 Crosstabs
  • 5.2 Compare Means
  • 5.3 Correlation
  • 5.4 Tables + Plots
  • 6.0 Overview
  • 6.1 Factor Analysis
  • 6.2 Example
  • 6.3 Cronbach's Alpha
  • 6.4 Tables and Graphs
  • 8.0 Overview
  • 8.1 Regression
  • 8.2 Examples
  • 10.0 Overview
  • 10.1 Logit
  • 10.2 Odds Ratios
  • 10.3 Path Analysis
  • 11.1 Diagnostics
  • 11.2 Other Regressions
  • 11.3 Multilevel Models
  • 12.1 Visualisation
  • App. 1. Installing R & RStudio
  • App. 2. Tips for R
  • App. 3. Graphics
  • App. 4. Practice Data
  • App. 5. Choosing Correlations
  • 1. Scoping a Topic
  • 2. Qualtrics Sample
  • Acknowledgements
  • Contact

SOCI2000 12.0 Linear Regression & Graphs & Figures

  • Lecture Slides
  • Practice Quiz
  • Video of classes

Lecture Slides

Week 12 Lecture Slides

Practice Quiz

Week 12 Practice Quiz on Quizizz

Video of classes

Video of classes are on iLearn Note that Monday 9am and Friday 1pm classes have the same content, so you only need to watch one or the other each week.

Last updated on 11 June, 2020 by Dr Nicholas Harrigan (nicholas.harrigan@mq.edu.au)

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