Regression in R

Spline regression is a type of regression that is used when there are points or “knots” where the pattern in the data…

In regression analysis, multicollinearity occurs when two or more predictor variables are highly correlated with each other, such that they do not…

One of the most common clustering algorithms used in machine learning is known as k-means clustering. K-means clustering is a technique in…

Ordinary least squares (OLS) regression is a method that allows us to find a line that best describes the relationship between one…

LOESS regression, sometimes called local regression, is a method that uses local fitting to fit a regression model to a dataset. The…

Often when we fit a linear regression model, we use R-squared as a way to assess how well a model fits the…

You can use the following methods to plot the results of the lm() function in R: Method 1: Plot lm() Results in…

Whenever you perform logistic regression in R, the output of your regression model will be displayed in the following format: Coefficients: Estimate…

Multiple linear regression is a statistical method we can use to understand the relationship between multiple predictor variables and a response variable.…

Piecewise regression is a regression method we often use when there are clear “breakpoints” in a dataset. The following step-by-step example shows…