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1. Dictionary

   regression

   /rɪˈɡrɛʃn/

   noun

   • 1. a return to a former or less developed state: "it is easy to blame unrest on economic regression"
   • ▪ a return to an earlier stage of life or a supposed previous life, especially through hypnosis: "the details recalled by Carol during the regression"
   • ▪ a lessening of the severity of a disease or its symptoms: "there was 46.7 per cent complete regression in the placebo group"
   • 2. a measure of the relation between the mean value of one variable (e.g. output) and corresponding values of other variables (e.g. time and cost).

   Scrabble Points: 11

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2. People also ask

   What is a regression model?

   • A regression is a statistical technique that relates a dependent variable to one or more independent (explanatory) variables. A regression model is able to show whether changes observed in the dependent variable are associated with changes in one or more of the explanatory variables.

   Regression: Definition, Analysis, Calculation, and Example - Investopedia

   www.investopedia.com/terms/r/regression.asp

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   What is regression in finance?

   • Regression is a statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables).

   Regression: Definition, Analysis, Calculation, and Example - Investopedia

   www.investopedia.com/terms/r/regression.asp

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   What is regression analysis?

   • Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variables. It can be utilized to assess the strength of the relationship between variables and for modeling the future relationship between them.

   Regression Analysis - Formulas, Explanation, Examples and Definitions

   corporatefinanceinstitute.com/resources/data-science/regression-analysis/

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   What does regression mean in statistics?

   • Regression is a statistical method that tries to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables). It is used in finance, investing, and other disciplines.

   Regression: Definition, Analysis, Calculation, and Example - Investopedia

   www.investopedia.com/terms/r/regression.asp

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   How does linear regression work?

   • Linear regression fits a straight line or surface that minimizes the discrepancies between predicted and actual output values. There are simple linear regression calculators that use a “least squares” method to discover the best-fit line for a set of paired data. You then estimate the value of X (dependent variable) from Y (independent variable).

   What Is Linear Regression? | IBM

   www.ibm.com/topics/linear-regression

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   How do regression models describe the relationship between variables?

   • Regression models describe the relationship between variables by fitting a line to the observed data. Linear regression models use a straight line, while logistic and nonlinear regression models use a curved line. Regression allows you to estimate how a dependent variable changes as the independent variable (s) change.

   Simple Linear Regression | An Easy Introduction & Examples - Scribbr

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3. www.investopedia.com › terms › rRegression: Definition, Analysis, Calculation, and Example

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   Jun 12, 2024 · Regression is a statistical method that relates a dependent variable to one or more independent variables. Learn how regression is used in finance, economics, and other disciplines, and see the formulas and examples of simple and multiple linear regression.

   • Author: Brian Beers

   • Video Duration: 1 min

4. en.wikipedia.org › wiki › Regression_analysisRegression analysis - Wikipedia

   en.wikipedia.org › wiki › Regression_analysis

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   In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or ...

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6. dictionary.cambridge.org › english › regressionREGRESSION | English meaning - Cambridge Dictionary

   dictionary.cambridge.org › english › regression

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   Regression is a noun that means a return to a previous and less advanced or worse state, condition, or way of behaving, or a fact of an illness or its symptoms becoming less severe. Learn more about the different types and uses of regression in English and Business English with examples and collocations.

7. www.merriam-webster.com › dictionary › regressionRegression Definition & Meaning - Merriam-Webster

   www.merriam-webster.com › dictionary › regression

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   Learn the various meanings and uses of the word regression, from the act or an instance of regressing to a functional relationship between correlated variables. See synonyms, examples, word history, and related phrases.

8. www.scribbr.com › statistics › simple-linear-regressionSimple Linear Regression | An Easy Introduction & Examples

   www.scribbr.com › statistics › simple-linear-regression

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   Feb 19, 2020 · Learn how to use simple linear regression to estimate the relationship between two quantitative variables. Find out the formula, assumptions, steps, and how to interpret the results with examples and R code.

   • A regression model is a statistical model that estimates the relationship between one dependent variable and one or more independent variables usin...
   • Simple linear regression is a regression model that estimates the relationship between one independent variable and one dependent variable using a...
   • Linear regression most often uses mean-square error (MSE) to calculate the error of the model. MSE is calculated by: measuring the distance of the...

9. www.ibm.com › topics › linear-regressionWhat Is Linear Regression? | IBM

   www.ibm.com › topics › linear-regression

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   Linear regression is a statistical method that predicts the value of a dependent variable based on one or more independent variables. Learn how to perform linear regression, why it is important, what assumptions it requires and how to apply it in various fields.

10. corporatefinanceinstitute.com › resources › dataRegression Analysis - Formulas, Explanation, Examples and ...

    corporatefinanceinstitute.com › resources › data

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    Regression analysis is a set of statistical methods used to estimate relationships between a dependent variable and one or more independent variables. Learn about the different types of regression analysis, such as linear, multiple and nonlinear, and how they are applied in finance and other disciplines.