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    • Making Sense of Economic Data (ECON 226/227)
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  1. Beginner: Using R and Data in Applied Econometrics
  2. Simple Regression
  • Learn by Skill Level


  • Getting Started: Introduction to Data, R, and Econometrics
    • Intro to JupyterNotebooks
    • Intro to R
    • Intro to Data (Part 1)
    • Intro to Data (Part 2)

  • Beginner: Using R and Data in Applied Econometrics
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Sampling Distributions
    • Simple Regression

  • Intermediate: Econometrics and Modeling Using R
    • Simple Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions

    • Geographic Computation
    • Chi-Square Test
    • t-test
    • ANOVA
    • Regression
    • Wrangling and Visualizing Data

  • Advanced Modules
    • Classification and Clustering
    • Differences In Differences
    • Geospatial I
    • Geospatial II
    • Instrumental Variables I
    • Instrumental Variables II
    • Large Language Model APIs (Python)
    • Linear Differencing
    • Training LLMS
    • Sentiment Analysis Using LLMs (Python)
    • Transcription (Python)
    • Vocalization (Python)
    • Word Embeddings (Python)
    • Word Embeddings (R)
    • Panel Data
    • Synthetic Controls

2.1 - Intermediate - Introduction to Regression

introduction
econ 325
econ 326
simple regression
regression
ols
t-test
dummy variable
pareto distribution
beginner
intermediate
R
An introduction to simple regression using Jupyter and R, with an emphasis on understanding what regression models are actually doing. Computation is using OLS.
Published

25 July 2024

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  • The COMET Project and the UBC Vancouver School of Economics are located on the traditional, ancestral and unceded territory of the xʷməθkʷəy̓əm (Musqueam) and Sḵwx̱wú7mesh (Squamish) peoples.