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Regression Analysis
(redirected from OLS Regression)

   Also found in: Dictionary/thesaurus, Medical, Encyclopedia, Wikipedia 0.01 sec.
Regression analysis
A statistical technique that can be used to estimate relationships between variables.

Regression Analysis
In statistics, the analysis of variables that are dependent on other variables. Regression analysis often uses regression equations, which show the value of a dependent variable as a function of an independent variable. For example, a regression could take the form:

y = a + bx

where y is the dependent variable and x is the independent variable. In this case, the slope is equal to b and a is the intercept. When plotted on a graph, y is determined by the value of x. Regression equations are charted as a line and are important in calculating economic data and stock prices.

regression analysis
The measurement of change in one variable that is the result of changes in other variables. Regression analysis is used frequently in an attempt to identify the variables that affect a certain stock's price.


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OLS Regressions: Insurance IPOs versus Noninsurance IPOs This table reports the results of OLS regression models of IPO underpricing.
The decision not to standardize categorical variables is in accord with the literature, which suggests that Bernoulli-type distributions should not be modeled at a point estimate (such as a mean); categorical variables are predominantly modeled as uncentered in OLS regression as well.
Because this dependent variable likely carries spatial dependence, a simple OLS regression is not sufficient; spatial econometric methods must be used to control for these geographic patterns in the data.
 
 
 
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