R Train DataPermutation for Linear Regression Confidence Intervals in R using mtcarsPermutation is a non-parametric statistical method that can be used to create confidence intervals around a linear regression.Apr 16Apr 16
R Train DataMonte Carlo Simulation for Linear Regression Confidence Intervals in R using mtcarsA Monte Carlo simulation is a computational technique used to approximate the probability of certain outcomes by running multiple random…Apr 15Apr 15
R Train DataBootstrap Resampling for Linear Regression Confidence Intervals in R using mtcarsLinear regression, the cornerstone of statistical modeling, is used to show the relationship between one or more independent variables and…Apr 12Apr 12
R Train DataWebscraping Merriam-Webster in R to explore English etymologiesEnglish is a language that has been influenced by Germanic, Latin, Greek, French, Norse, Dutch and other origins. So the words often sound…Apr 12Apr 12
R Train DataTesting Linear Models with Synthetic Data in R using mtcarsIn R, we can simulate data in order to test the effectiveness of a linear model under different conditions. We can see precisely how our…Apr 10Apr 10
R Train DataLeave-One-Out Cross-Validation (LOOCV) for Linear Regression in R using mtcarsCross-validation is an great technique for model evaluation that allows us to understand both bias and variance components in the models we…Apr 10Apr 10
R Train DataK-Fold Cross-Validation for Linear Regression in R using mtcarsCross-validation is an great technique for model evaluation that allows us to understand both bias and variance components in the models we…Apr 7Apr 7
R Train DataRidge Regression in R using mtcarsRidge regression, also known as L2 regularization, is a technique that, like ordinary least squares regression, is used to model…Mar 31Mar 31
R Train DataOverview of R-Squared and Adjusted R-Squared in R using mtcarsWhen we look at the output of a regression in R, two metrics in particular stand out: r-squared and adjusted r-squared. While both gauge…Mar 29Mar 29