Moreover, linear regression analysis was conducted to predict the strength properties of polymer hybrid fibre-reinforced concrete, such as compressive strength and split tensile strength. The ...

This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The wind power ...

One NFL analyst thinks the Kansas City Chiefs will take a step back in 2025.

The Spanish Formula 1 Grand Prix is set to run on Sunday at 9 a.m. ET. One of the oldest races in the world still being contested, it’s held at the Circuit de Barcelona-Catalunya.

The world's best drivers head to Miami for round 6 of the Formula One season, with McLaren holding a dominant position in the team standings. They are 77 points ahead of second-place Mercedes, but ...

Through Principal Component Analysis (PCA) and multiple linear regression models, the comprehensive impact of various economic factors on the minimum allowance standard is thoroughly analyzed, with an ...

To address the challenges posed by the stochastic nature of solar power, this paper proposes an interval forecasting model designed to enhance the accuracy of solar power predictions and improve the ...

Second, the authors used a t-distribution to generate the prediction intervals and distributions for the hierarchical meta-analysis model. While the t-distribution is exact for prediction intervals in ...

Linear regression (LR) is used to predict thermochemical properties of alkanes at temperatures (0–1000) K to study chemical reaction equilibria inside zeolites. The thermochemical properties of C1 ...

This project implements a simple linear regression model to predict a car's fuel consumption based on various vehicle features such as engine size, transmission type, and vehicle class. The goal is to ...