Regression analysis

regression analysis
A statistical tool that uses the least squares method to estimate the fixed and variable components of mixed costs.
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regression analysis
statistical technique used to establish the relationship of a dependent variable, such as the sales of a company, and one or more independent variables, such as family formations, Gross Domestic Product , per capita income, ...

Regression Analysis
A statistical technique used in modern stock portfolio analysis to compare returns on a particular stock or particular portfolio of stocks with the returns for a larger group of stocks or an index of stocks.

Regression analysis - a statistical process for fitting a line through a set of data points. It gives the intercept and slope(s) of the "best fitting" line.

Regression analysis
Number-crunching to discover the relationship between different economic variables. The findings of this statistical technique should always be taken with a pinch of salt.

Regression Analysis
A statistical technique for measuring/quantifying the type of causal relationship among variables; one of which is the Dependent Variable (DV) while the others are the Independent Variables (IVs).

regression analysis A statistical method for finding the relationship between two or more variables. Also called least squares or linear regression.

Regression Analysis A statistical technique for fitting best line through data.
Regular Dividend Dividend that is expected to be maintained at regular time intervals.

Regression analysis - A statistical procedure for estimating the average relationship between the dependent variable (sales, for example) and one or more independent variables (price and advertising, for example).

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Regression analysis
A statistical technique that can be used to estimate relationships between variables.
Multiple regression
The estimated relationship between a dependent variable and more than one explanatory variable.

Regression analysis
Errors and residuals Â- Regression model validation Â- Mixed effects models Â- Simultaneous equations models
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A regression analysis between only two variables, one dependent and the other explanatory.
Simple linear trend model
An extrapolative statistical model that asserts that earnings have a base level and
grow at a constant amount each period.

RATS
Regression Analysis of Time Series (software)
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Used in regression analysis, Kappa represents the ratio of the dollar price change in the price of an option to a 1% change in the expected price volatility.
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Statistical regression analysis then provides numerical estimates of the value placed by each respondent on each of these attributes.

Term used in regression analysis to represent the element or condition that is dependent on values of one or more other variables.
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Regression analysis
The statistical technique of finding a straight line that approximates the information in a group of data points. Used throughout empirical economics, including in both international trade and finance.

Correlation and regression analysis
Correlation
Pearson product-moment correlation Â- Partial correlation Â- Confounding variable Â- Coefficient of determination ...

Term yielded by regression analysis that indicates the sensitivity of the dependent variable to a particular independent variable. See: Parameter.
Regression equation ...

Independent variable Term used in regression analysis to represent the element or condition that is expected to influence another (so-called dependent) variable.

coefficient of determination A measure of the correlation between the dependent and independent variables in a regression analysis. COGS Acronym for Cost Of Goods Sold. On an income statement, the cost of purchasing...

Coefficient of determination A measure of the goodness of fit of the relationship between the dependent and independent variables in a regression analysis; for instance, ...

beta : a creation of academic captal asset pricing theory; an artifact of statistical linear univariate regression analysis which suffers from three fallacies: first, there is a single, linear, general, ...

Beta is calculated using regression analysis, and you can think of beta as the tendency of a security's returns to respond to swings in the market. A beta of 1 indicates that the security's price will move with the market.

Multiple Regression
A regression analysis between a dependent variable and more than one independent (explanatory) variable.

Alpha and beta coefficients are calculated using a procedure known as "regression analysis, ...

Kennedy also says: "In light of the above, it can be concluded that anyone comfortable with regression analysis and dummy variables can eschew analysis of variance and covariance techniques.

Arguably the most important tool of econometrics is regression analysis (for an overview of a linear implementation of this framework, see linear regression).

A measure of the goodness of fit of the relationship between a dependent and independent variable in a regression analysis-for instance, the percentage of the variation in the return of an asset explained by the market portfolio return.

frequency distributions, risk and probability, correlation, and regression analysis.
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Actual y- values. A line fitted to the points that minimize the sum of the squared deviations of the points. This occurs in regression analysis.
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Simple linear regression
A regression analysis between only two variables, one dependent and the other explanatory.

Regression analysis or the method of least squares is ideally suited to cost behavior analysis. This method appears to be imposingly complex, but it is not nearly so complex as it seems. Start by considering the objective of this calculation.

It is the fluctuation in stock prices and the market in general. Some stocks have greater risk than others, and thus carry higher Stock Betas. Stock betas are measured using regression analysis. ...

Regression Analysis
Statistical analysis that examines the correlation between two or more variables in a mathematical model and attempting to indicate whether ...(Read more)
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See also: Regression, Expense, Coefficient, Values, Banks