A constant in computer science and mathematics refers to a value that does not change during the execution of a program or evaluation of an expression. They stand in contrast to variables, which can store different values during program execution.
A statistical measure of the degree to which the movements of two variables are related. It quantifies the direction and strength of the relationship between variables.
Covariance is a statistical measure that indicates the extent to which two variables change together. A positive covariance suggests that the variables tend to increase or decrease in tandem, whereas a negative covariance indicates that as one variable increases, the other tends to decrease.
A method used in decision making to evaluate the impact of variations in key variables on projected outcomes, helping to identify the degree of risk associated with a decision.
A problem that arises in regression analysis involving time series data when successive values of the random error term are not independent. This implies that an important variable has not been identified. Same as autocorrelation.
In economics, 'stock' represents a quantity measured at a particular moment in time, while 'flow' represents a quantity measured over a specified period.
