Modeling linear regression in Excel is easier with the Data Analysis ToolPak. Regression output can be interpreted for both the size and strength of a correlation among one or more variables on the ...

Successful investing requires the ability to distinguish long-term trends from the short-term noise that moves stock prices on a minute-to-minute basis. One way to tune out the random oscillations and ...

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 ...