Regression analysis aims to model the expected values for a dependent variable (y) based on independent variables (x). The polynomial regression is a statistical technique to fit a non-linear equation to a data set by employing polynomial functions of the independent variable. We can use the model whenever we notice Read more…
In a previous article, we explored Linear Regression Analysis and its application in financial analysis and modeling. You can read our Regression Analysis in Financial Modeling article to gain more insight into the statistical concepts employed in the method and where it finds application within finance. This article will take Read more…
Regression Analysis represents a set of statistical methods and techniques, which we use to evaluate the relationship between variables. These are one dependent variable (our target) and one or more independent variables (predictors). We have three primary variants of regression – simple linear, multiple linear, and non-linear. However, most of Read more…
Introduction Linear regression is considered the most accurate method in segregating costs into Fixed and Variable components. Like the High-Low Method and other methods, the Least-Squares Method follows the same simple linear cost function: However, most people consider the Least-Squares Method more accurate, as it computes Fixed and Variable Costs Read more…
