In the field of statistics, a dependent variable is the subject of an equation whose value depends on independent variables. Typically denoted as 'Y', the dependent variable is influenced or predicted by the independent variables, often denoted as 'X'.
Multiple regression is a statistical method used to examine the relationship between one dependent variable and two or more independent variables. This technique helps in understanding how multiple factors simultaneously affect the dependent variable.
A regression line is a line calculated in regression analysis that is used to estimate the relationship between two quantities, the independent variable and the dependent variable.
A stochastic process or variable relies on probabilistic behavior and chance, commonly used in fields like statistics, finance, and engineering to model systems that are inherently random.
