The formula for Pearson’s correlation coefficient, r, relates to how closely a line of best fit, or how well a linear regression, predicts the relationship between the two variables. It is presented ...

Correlation coefficient measures the strength and direction of a linear relationship between two variables. It ranges from -1 to 1, where 1 indicates a perfect positive relationship and -1 ...

Correlation is the statistical linear correspondence of variation between two variables. It combines two related statistical concepts: variance and standard deviation.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Spearman’s rank correlation is a statistical technique used to understand the relationship between two variables when the relationship does not conform to a linear pattern. Spearman’s rank correlation ...

One useful tool to help us make sense of these kinds of problems is regression. Regression is a statistical method that allows us to look at the relationship between two variables, while holding other ...

In its most rudimentary form, regression analysis is the estimation of the ratio between two variables. Say you want to estimate the growth in meat sales (MS Growth), based on economic growth (GDP ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...