regression analysis: meaning, definition, pronunciation and examples
LowFormal, Technical
Quick answer
What does “regression analysis” mean?
A statistical technique for modeling and analyzing the relationships between a dependent variable and one or more independent variables.
Audio
Pronunciation
Definition
Meaning and Definition
A statistical technique for modeling and analyzing the relationships between a dependent variable and one or more independent variables.
Used in various fields such as economics, psychology, and data science to predict outcomes, test hypotheses, understand correlations, and inform decision-making based on data.
Dialectal Variation
British vs American Usage
Differences
No significant differences in meaning or usage between British and American English.
Connotations
Neutral and technical in both varieties, with no additional cultural connotations.
Frequency
Equally common in academic, scientific, and professional contexts in both regions.
Grammar
How to Use “regression analysis” in a Sentence
regression analysis of [noun phrase]regression analysis on [noun phrase]regression analysis with [variables]Vocabulary
Collocations
Usage
Meaning in Context
Business
Used in market research and finance to forecast sales, optimize pricing, and assess risk factors.
Academic
Common in social sciences, medicine, and engineering for hypothesis testing and validating theoretical models.
Everyday
Rarely used in casual conversation; typically appears in professional or educational discussions about data.
Technical
Fundamental in statistics, machine learning, and data science for building predictive models and interpreting complex datasets.
Vocabulary
Synonyms of “regression analysis”
Strong
Neutral
Weak
Vocabulary
Antonyms of “regression analysis”
Watch out
Common Mistakes When Using “regression analysis”
- Confusing regression analysis with correlation (regression implies causation direction, while correlation does not).
- Misspelling as 'regresion analysis' or 'regression analisis'.
- Using it without specifying the type (e.g., linear vs. logistic) when context requires precision.
FAQ
Frequently Asked Questions
Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables, often for prediction or inference.
It should be used when you want to model causal relationships, make predictions, or test hypotheses about how variables interact, typically in fields like economics, social sciences, or data science.
Common types include linear regression for continuous outcomes, logistic regression for binary outcomes, and multiple regression for several independent variables.
Descriptive statistics summarize data (e.g., mean, median), while regression analysis models relationships to predict or explain variations in data.
A statistical technique for modeling and analyzing the relationships between a dependent variable and one or more independent variables.
Regression analysis is usually formal, technical in register.
Regression analysis: in British English it is pronounced /rɪˈɡreʃən əˈnæləsɪs/, and in American English it is pronounced /rɪˈɡreʃən əˈnæləsəs/. Tap the audio buttons above to hear it.
Learning
Memory Aids
Mnemonic
Think of 'regression' as going back to analyze past data to predict future trends.
Conceptual Metaphor
Analysis as a mapping tool to chart relationships in data.
Practice
Quiz
What is a primary application of regression analysis?