Objective Non-adherence to antidepressants has been linked to increased symptom severity, relapse and hospitalisation from ...

In order to improve the accuracy of construction project cost budget, based on the previous research, this paper introduces the multiple linear analysis method, constructs a regression model, and uses ...

In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained ...

python machine-learning numpy sklearn project pandas india polynomial-regression regression-models aqi support-vector-regression decision-tree-regression random-forest-regression ...

Using Multiple Linear Regression, the data set is analysed to determine which independent variables provide a non-random amount of variance to the dependent variable and conclude whether a linear ...

Beal, D.J. (2007) Information Criteria Methods in SAS for Multiple Linear Regression Models. SESUG 2007 The Proceedings of the South East SAS Users Group, Hilton Head, SC, 2007.

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.