Abstract: The conventional multiple linear regression model is limited by its inability to process high-dimensional datasets, susceptibility to multicollinearity, and challenges in modeling non-linear ...

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China ...

The keyboard is one of the most important accessories of our PC. Without a keyboard, it is hard to use it. It helps us to type fast and carry out tasks very easily instead of doing everything with the ...

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 ...

Jixiang Wu *, Johnie N. Jenkins, Jack C. McCarty Jr. Genetics and Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, USA. With the rapid development of DNA technologies, high ...

Abstract: This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on ...

1 School of Physical Education, Huizhou University, Huizhou, Guangdong, China 2 Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China In recent years, with ...