regression coefficient

Thân thiện

A student calculates the regression coefficient on a graph.

Definition

1. Noun:
   • In statistics, a regression coefficient is a numerical value that quantifies the relationship between an independent variable (predictor) and a dependent variable (outcome) in a regression model. It represents the expected change in the dependent variable for a one-unit change in the independent variable, while holding all other variables in the model constant.

Usage

• Noun:
  • The regression coefficient for advertising spend was positive and significant, indicating that increased spending leads to higher sales.
  • To interpret the model, you must examine the sign and magnitude of each regression coefficient.
  • A regression coefficient of 2.5 means that for every one-unit increase in X, Y is expected to increase by 2.5 units, all else being equal.

Advanced Usage

• Standardized Regression Coefficient (Beta Coefficient): A version of the coefficient that is scaled, allowing for comparison of the relative strength of predictors measured on different units.
  • The standardized regression coefficients showed that education level had a stronger effect on income than years of experience.
• Statistical Significance of a Coefficient: The probability that the observed relationship between the variable and the outcome is not due to random chance, often assessed with a p-value.
  • The regression coefficient was not statistically significant (p > 0.05), so we cannot conclude a real relationship exists.

Variants and Related Words

• Coefficient (n): A numerical or constant quantity placed before and multiplying the variable in an algebraic expression (e.g., in 5x, 5 is the coefficient). In statistics, it is a general term for a multiplicative factor in a model.
• Slope (n): In the context of simple linear regression (y = ax + b), the regression coefficient (a) is synonymous with the slope of the regression line.
• Intercept (n): In a regression equation (y = ax + b), the constant term (b) where the regression line crosses the Y-axis. It is distinct from but reported alongside the regression coefficient.

Synonyms

• Parameter Estimate: A more general statistical term for an estimated value of a parameter in a model, such as a regression coefficient.
• Slope Coefficient: Specifically used to denote a regression coefficient in a linear model, emphasizing its role as the slope.

Related Concepts (Not Phrasal Verbs or Idioms)

• Multiple Regression: A statistical technique that uses several independent variables to predict the outcome of a dependent variable, resulting in multiple regression coefficients.
  • The multiple regression model included regression coefficients for age, income, and location.
• Confidence Interval for a Coefficient: A range of values, derived from the sample data, that is likely to contain the true value of the regression coefficient in the population.
  • The 95% confidence interval for the regression coefficient ranged from 1.2 to 3.8.

Học thuật

Noun

1. when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line