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  1. Dictionary
    Re·gres·sion
    /rəˈɡreSH(ə)n/

    noun

    • 1. a return to a former or less developed state: "it is easy to blame unrest on economic regression"
    • 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).
    More Definitions, Word Origin & Scrabble

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

    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 ...

  3. www.g2.com › articles › regression-analysisWhat Is Regression Analysis? Types, Importance, and Benefits - G2

    Jan 31, 2023 · Regression analysis is a statistical process that helps assess the relationships between a dependent variable and one or more independent variables. The primary purpose of regression analysis is to describe the relationship between variables, but it can also be used to: Estimate the value of one variable using the known values of other variables.

  4. www.mygreatlearning.com › blog › what-is-regressionWhat is Regression? | Definition of Regression [2024]

    May 20, 2024 · Regression in machine learning is a supervised learning technique employed to forecast the value of the dependent variable for unseen data. It establishes a connection between input features and the target variable, enabling the estimation or prediction of numerical values.

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  6. towardsdatascience.com › regression-explained-inRegression — explained in simple terms!! | by Aishwarya V ...

    Aug 18, 2019 · Formal Definition of Regression Any equation, that is a function of the dependent variables and a set of weights is called a regression function. y ~ f (x ; w) where “y” is the dependent variable (in the above example, temperature), “x” are the independent variables (humidity, pressure etc) and “w” are the weights of the equation ...

  7. researchmethod.net › regression-analysisRegression Analysis - Methods, Types and Examples

    Mar 25, 2024 · Regression analysis is a set of statistical processes for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables (or ‘predictors’).

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  9. statisticsbyjim.com › regression › regressionRegression Tutorial with Analysis Examples - Statistics By Jim

    Regression analysis mathematically describes the relationship between independent variables and the dependent variable. It also allows you to predict the mean value of the dependent variable when you specify values for the independent variables.

  10. stats.libretexts.org › Bookshelves › Introductory14.1: Introduction to Linear Regression - Statistics LibreTexts

    Apr 23, 2022 · Linear regression consists of finding the best-fitting straight line through the points. The best-fitting line is called a regression line. The black diagonal line in Figure \(\PageIndex{2}\) is the regression line and consists of the predicted score on \(Y\) for each possible value of \(X\).

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