Linear regression is a statistical method used for modeling a relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable. When only one explanatory variable is involved, it is called **simple linear regression**. And in case of many explanatory variabes, the process is termed **multiple linear regression**.

A linear regression line has an equation of the form ** Y = a + bX**, where

Regression models can be used to make predictions of kinetic data of a series of chemically similar compounds. The molecular structure of a chemical compound determines its properties. A set of numerical descriptors are calculated to encode information about each of the molecular structures. These descriptors are then used to build statistical models using linear regression to predict the kinetics or activity of interest. However, this method is inductive, meaning it depends on having a set of compounds with known kinetic parameters or activities.

For examples of previously performed studies in which Linear Regression of Kinetic Data with Chemical Descriptors was the primary method used, see the following example cases:

- In Silico Prediction of the Dissociation Rate Constants of Small Chemical Ligands by 3D-Grid-Based VolSurf Method.
- Protein-ligand interaction fingerprints for accurate prediction of dissociation rates of p38 MAPK Type II inhibitors.
- Ligand Desolvation Steers On-Rate and Impacts Drug Residence Time of Heat Shock Protein 90 (Hsp90) Inhibitors.
- Discovery of 7-Oxo-2,4,5,7-tetrahydro-6 H-pyrazolo[3,4- c]pyridine Derivatives as Potent, Orally Available, and Brain-Penetrating Receptor Interacting Protein 1 (RIP1) Kinase Inhibitors: Analysis of Structure-Kinetic Relationships.
- Constructing Interconsistent, Reasonable, and Predictive Models for Both the Kinetic and Thermodynamic Properties of HIV-1 Protease Inhibitors.
- Multiple Linear Regression of kinetic dataset of MAP38 kinase inhibitors using chemical descriptors

Linear Regression of Kinetic Data with Chemical Descriptors was also used in the following examples: