Interpreting and Using Regression Quantitative Applications in the Social Sciences, Paper 29; Linear Probability, Logit and Probit Models Quantitative Applications in the Social Sciences, Paper 45doi:10.2307/2987758Reese R. AllanJournal of the Royal Statistical Society Series D: The Statistician
Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond th...
Using a dataset based on the General Social Survey, Mitchell starts with a basic linear regression with a single independent variable and then illustrates how to tabulate and graph predicted values. Mitchell focuses on Stata'smarginsandmarginsplotcommands, which play a central role in the book and...
Using a dataset based on the General Social Survey, Mitchell starts with a basic linear regression with a single independent variable and then illustrates how to tabulate and graph predicted values. Mitchell focuses on Stata'smarginsandmarginsplotcommands, which play a central role in the book and...
Earlier, we saw that the method of least squares is used to fit the best regression line. The total variation in our response values can be broken down into two components: the variation explained by our model and the unexplained variation or noise (Figure 1 below). As shown in Figure...
Optional: Using this equation and the independent variable layers, you create a map of the dependent variable over the entire area. While this set of steps remains consistent across regressions, there are multiple types of regression functions to choose from, based on the properties of your depend...
Regression & Relative Importance Regression Guides User-friendly Guide to Linear Regression User-friendly Guide to Logistic Regression Interpreting Residual Plots to Improve Your Regression The Confusion Matrix & Precision-Recall Tradeoff Pivot Table Cluster Analysis R Coding in Stats iQ Pre-composed R...
Choose one of the exploratory regression models that performed well for all of the other criteria (use the lists of highest adjusted R-Squared values, or select a model from those in the optional output table), and run OLS using that model. Output from the Ordinary Least Squares reg...
This process may incorporate various methodologies, such as filter methods that rely on specific statistical metrics, wrapper methods like backward feature elimination, or specialized algorithms including LASSO (Least Absolute Shrinkage and Selection Operator) regression59, which are instrumental in refining ...
The Stata Journal 4(2): 154-167. Rainey, Carlisle. 2016. “Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction.” Political Science Research and Methods 4(3): 621-639.