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

We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

Yongsheng Kuang, Junhong Yuan, Zhen Chen, Prediction Method of Manganese Tuberculosis Resources Content in Deep Seafloor Based on Multiple Regression, Journal of Coastal Research, Special Issue No. 93 ...

Using Linear Regression Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.