Statistics Made Easy 5.5: Interpreting the Results from Nonlinear Regression Models

Statistics Made Easy 5.5: Interpreting the Results from Nonlinear Regression Models

In this video, we examine the output of a nonlinear regression model (probit regression). We cover coefficients, effect sizes, standard errors, null hypotheses, statistical significance, R-squared, p-values, and F-tests. For additional background reading on logit and probit regressions, I recommend these papers: 1) https://doi.org/10.1002/smj.582 2) https://doi.org/10.1002/smj.783 3) https://doi.org/10.1002/smj.758 Remember, the official Stata help files (type "help [command]" in the Stata command line) and the Stata forum (statalist.org) offer valuable support. Additionally, search engines (e.g., Google and Bing) and artificial intelligence tools (e.g., ChatGPT and Gemini) can assist you in finding the code you need. You can download the datasets, additional explanations, and the Stata "Do Files" for the tutorial by following this link: https://drive.google.com/drive/folder...