Author: scarlettbarge

By Scarlett Barge In statistics, autocorrelation refers to the correlation of a variable with itself across time. Rather than examining relationships between different variables, autocorrelation measures whether past values of a series help explain its current behavior. This concept is central to time series analysis and plays an important role in regression diagnostics, forecasting, and…

By Scarlett Barge Many relationships we wish to study are not well captured by classic linear regression. In non-linear models, an increase in X can have different effects depending on the starting value of X. These models allow us to capture curvature, diminishing returns, and other patterns that linear models miss. Polynomial Models Polynomial models…

By Scarlett Barge A two-way Analysis of Variance (ANOVA) is a statistical test used to examine how two categorical independent variables (IVs) affect a quantitative dependent variable (DV). In addition to assessing the individual (main) effects of each independent variable, a two-way ANOVA also allows us to test whether there is an interaction effect between…

By Scarlett Barge Before collecting and analyzing data, we must first ensure the design of the experiment is plausible and valid. Certain hypotheses can be easily tested using a typical lab setting, an experimental group, and a control. But what happens when this is simply not possible? Enter John Snow. Long before dragons and direwolves,…