Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do wi ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

High Carbon Steel was additively manufactured through laser cladding techniques. The laser power processing parameter varied between 1.0 KW and 2.0 KW while the scanning speed, gas, and powder flow ...

Autistic regression may occur after an established ASD diagnosis, in what’s called “late regression,” or it may be one way ASD presents during early childhood and that leads to diagnosis.

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

Using linear regression and the overall multilinear regression was statistically significant. The regression model significantly predicted retention indicating that the models are significantly better ...

This procedure was performed for complexities (number of hidden neurons) ranging from 0 hidden neuron (i.e., multilinear model) to five hidden neurons, as described in the Results section. For ...