Definition

Noun: 1. A statistical method for modeling the relationship between a dependent variable and one or more independent variables: Statistical regression is a technique used to analyze how changes in one or more predictor variables (independent variables) are associated with changes in an outcome variable (dependent variable). It allows for the prediction or estimation of the most probable value of the dependent variable based on known values of the independent variables.

Usage Examples

• Noun:
  • The researcher used statistical regression to determine the impact of study hours on exam scores.
  • Linear statistical regression is one of the most fundamental tools in data analysis.
  • The results of the statistical regression showed a strong positive relationship between advertising spend and sales.

Advanced Usage

• "to perform/run a statistical regression": to execute the statistical analysis.
  • We need to perform a statistical regression to test our hypothesis.
• "regression analysis": a synonymous term often used interchangeably with "statistical regression" to describe the overall process.
  • The report includes a detailed regression analysis of the market data.

Variants and Related Words

• Regression (n): A common shortened form of "statistical regression."
  • The coefficient was calculated using regression.
• Regression model (n): The specific mathematical equation derived from a regression analysis.
  • They developed a regression model to forecast demand.
• Regressor (n): An independent variable used in a regression model.
• Regressand (n): The dependent variable in a regression model.

Synonyms

• Regression analysis: The process of performing regression.
• Predictive modeling: A broader term that includes regression techniques for making predictions.

Related Phrases

• Linear regression: A type of regression that models a linear relationship between variables.
• Multiple regression: Regression involving two or more independent variables.
• Regression coefficient: A numerical value that represents the strength and direction of the relationship between an independent variable and the dependent variable.
  • The regression coefficient for experience was significant.
• Regression to the mean: A statistical phenomenon where extreme observations tend to be followed by more average ones. (Note: This is a related but distinct concept from statistical regression as a modeling technique).

Noun

1. the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)