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regression correlation

 

Definitions from the Web

Regression Correlation

Definition: Regression correlation refers to a statistical measure that quantifies the strength and direction of the relationship between two variables in a regression analysis.

Senses and Usages

Sense 1: Statistical Analysis

Part of Speech: Noun

Meaning: In statistical analysis, regression correlation measures the degree to which changes in one variable are associated with changes in another variable in a linear regression model.

Example Sentence: The regression correlation between the temperature and ice cream sales showed a positive relationship, indicating that hotter days led to higher sales.

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Sense 2: Linear Relationship

Part of Speech: Noun

Meaning: In mathematics, regression correlation represents the strength of the linear relationship between two variables on a scatter plot.

Example Sentence: The regression correlation coefficient of 0.75 indicated a strong positive linear relationship between the height and weight of participants.

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Sense 3: Predictive Modeling

Part of Speech: Noun

Meaning: In predictive modeling, regression correlation assists in understanding how well a regression model predicts future outcomes.

Example Sentence: The regression correlation of 0.85 confirmed that the regression model could predict stock prices with a high level of accuracy.

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Sense 4: Statistical Technique

Part of Speech: Noun

Meaning: Regression correlation is a statistical technique used to assess the strength of the relationship between variables while controlling for other factors.

Example Sentence: The researcher used regression correlation to determine if gender influenced the relationship between income and job satisfaction.

Related Products: Statistical Techniques Books on Amazon

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