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  1. R Notebooks
  2. Conducting Regression Analysis (10)
  • Learn to Research


  • STATA Notebooks
    • Setting Up (1)
    • Working with Do-files (2)
    • STATA Essentials (3)
    • Locals and Globals (4)
    • Opening Datasets (5)
    • Creating Variables (6)
    • Within Group Analysis (7)
    • Combining Datasets (8)
    • Creating Meaningful Visuals (9)
    • Combining Graphs (10)
    • Conducting Regression Analysis (11)
    • Exporting Regression Output (12)
    • Dummy Variables and Interactions (13)
    • Good Regression Practices (14)
    • Panel Data Regression (15)
    • Difference in Differences (16)
    • Instrumental Variable Analysis (16)
    • STATA Workflow Guide (18)

  • R Notebooks
    • Setting Up (1)
    • Working with R Scripts (2)
    • R Essentials (3)
    • Opening Datasets (4)
    • Creating Variables (5)
    • Within Group Analysis (6)
    • Combining Datasets (7)
    • Creating Meaningful Visuals (8)
    • Combining Graphs (9)
    • Conducting Regression Analysis (10)
    • Exporting Regression Output (11)
    • Dummy Variables and Interactions (12)
    • Good Regression Practices (13)
    • Panel Data Regression (14)
    • Difference in Differences (15)
    • Instrumental Variable Analysis (16)
    • R Workflow Guide (17)

  • Pystata Notebooks
    • Setting Up (1)
    • Working with Do-files (2)
    • STATA Essentials (3)
    • Locals and Globals (4)
    • Opening Datasets (5)
    • Creating Variables (6)
    • Within Group Analysis (7)
    • Combining Datasets (8)
    • Creating Meaningful Visuals (9)
    • Combining Graphs (10)
    • Conducting Regression Analysis (11)
    • Exporting Regression Output (12)
    • Dummy Variables and Interactions (13)
    • Good Regression Practices (14)
    • Panel Data Regression (15)
    • Difference in Differences (16)
    • Instrumental Variable Analysis (17)
    • STATA Workflow Guide (18)

10 - Conducting Regression Analysis

econ 490
r
regression
univariate regression
multiple regression
estimates
coefficients
controls
interpretation
This notebook goes over the theory surrounding linear regressions, as well as how to implement univariate and multivariate regressions in R. We dig into coefficient interpretation, and we touch upon control variable selection.
Published

29 May 2024

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Combining Graphs (9)
Exporting Regression Output (11)
  • Creative Commons License. See details.
 

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