Regression Analysis - an overview | ScienceDirect Topics
Regression analysis is defined as a statistical method used to estimate the relationships among variables, often employed to understand how the typical value of the dependent variable …
Life-cycle assessment of hydrogen systems: A systematic review …
Sep 10, 2024 · In this work, in addition to a systematic literature review of LCA of FCH systems to identify current practices and gaps, sources of variability were investigated for the life-cycle …
Regression Analysis - an overview | ScienceDirect Topics
Regression analysis is defined as a multivariate technique used to predict one variable based on the values of others, where the predicted variable is denoted by y and the predictors by x. It …
A Study on Multiple Linear Regression Analysis - ScienceDirect
Dec 10, 2013 · Regression analysis is a statistical technique for estimating the relationship among variables which have reason and result relation. Main focus of univariate regression is analyse …
Using regression analysis to predict the future energy …
Oct 1, 2014 · One example is the paper by Schrock and Claridge [8] in which the authors use a simple regression model of the ambient temperature to investigate a supermarket’s electricity …
Can criminal justice be predicted? Using regression analysis to …
Jan 1, 2024 · The regression analysis results in a model suggesting the relative importance of different variables and also provides an overall predictive value, that is, that by using certain …
Linear Regression Analysis - an overview | ScienceDirect Topics
Linear regression analysis is defined as a supervised learning approach used to predict a continuous outcome by establishing a linear relationship between dependent and independent …
Linear and logistic regression analysis - ScienceDirect
Apr 1, 2008 · In this paper, we will discuss linear regression analysis for the examination of continuous outcome data and logistic regression analysis for the study of categorical outcome …
The Proper Use and Reporting of Survival Analysis and Cox …
May 1, 2022 · Note that the Cox regression model assumes a log-linear and additive fun-ction in terms of the covariates, as well as the between-group proportional hazards.
The number of subjects per variable required in linear regression ...
Jun 1, 2015 · Prior studies have examined the minimum number of events per variable required for estimation of logistic regression models and Cox proportional hazards regression models.