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 ...

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 ...

This paper presents a comprehensive exploration of earthquake magnitude and depth prediction using an advanced machine learning model and multiple linear regression model. The study encompasses ...

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 ...

Compare the performance with Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) using statistical measurements MSE and MAE. Find out how this proposed model outperforms in predicting ...

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.