Prep work

Learning objectives

  • understand that errors are a normal part of the coding process.
  • get an initial sense of how to address coding errors.

Watch this video on problem solving in Stata.

Synchronous session

Learning objectives

  • categorize variables according to the type of variable.
  • explain the meaning of the slope of a line.
  • draw a line of best fit and justify its location.
  • describe the relationship between two variables in words, graph form, and equation form.
  • understand the purpose of prediction equations and how to use them.

Link to slides.

Variable categorization exercise.

Post-session work

Learning objectives

  • run a bivariate regression in Stata.
  • interpret bivariate regression coefficients.

Download the materials from this folder into a working directory. Open the do file (M4_ScatterplotsRegression.do) and answer the questions in the do file using the data sets included in the folder. Upload your completed do file, as well as any questions, to the Slack channel #module4.