regression analysis

USAGE SUMMARY

The phrase "regression analysis" is correct and can be used in written English.
It describes a type of statistical analysis used to study the relationship between a dependent variable, such as a person's income, and one or more independent variables, such as age, education and job title. For example, "The study used regression analysis to determine the correlation between salaries and educational level."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

Regression analysis.

Massachusetts Institute of Technology

(C) Regression analysis.

Nature

b, Linear regression analysis.

Nature

The approach is called "lagged regression analysis".

The New York Times

Mr Pencavel's regression analysis confirms it.

The Economist

A prospective regression analysis.

Physical Therapy in Sport

In regression analysis, those factors are called variables.

Harvard Business Review

The results of linear least squares regression analysis are shown.

Nature

Prerequisite: Intermediate Microeconomics and Regression Analysis.

Cornell University

Theory and practice of regression analysis.

Columbia University

Human-verified similar examples from authoritative sources

Similar Expressions

1 human-written examples

A meta-regression analysis.

Nature

Expert writing Tips

Best practice

When reporting results from "regression analysis", be specific about the type of regression used (e.g., linear, logistic, multivariate) and the variables included in the model for clarity.

Common error

Avoid implying causation solely based on "regression analysis" results. Regression can identify relationships, but further evidence is needed to establish causality.

Linguistic Context

The phrase "regression analysis" functions as a noun phrase that identifies a specific statistical method. Ludwig AI confirms its correct usage in various contexts. It is employed to model relationships between variables, as seen in examples across scientific, academic, and business domains.

Expression frequency: Very common

Frequent in

Science

45%

Academia

25%

News & Media

15%

Less common in

Formal & Business

10%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "regression analysis" is a very common and grammatically correct term that denotes a powerful statistical method used to analyze relationships between variables. As highlighted by Ludwig AI, it is primarily utilized in scientific, academic, and news contexts. While the phrase is widely accepted, it is crucial to avoid implying causation from correlation and to specify the type of regression used for clarity. Related terms include "statistical regression" and "regression modeling". Remember to interpret the results cautiously, understanding that regression identifies relationships but doesn't necessarily prove cause and effect.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

statistical regression

Focuses on the statistical aspect of the analysis.

regression modeling

Emphasizes the creation of a statistical model through regression.

linear regression modeling

Specifies the type of regression as linear and emphasizes the modeling aspect.

least squares regression

Specifies the method used to perform the regression.

multivariate regression

Highlights the use of multiple variables in the regression.

data regression

Emphasizes the use of data in performing regression.

econometric analysis

Indicates the use of regression techniques in an economic context.

statistical modeling

Broader term encompassing various modeling techniques, including regression.

predictive modeling

Focuses on the predictive capability derived from regression.

correlation analysis

Related but distinct method focused on measuring the strength of the relationship between variables, not necessarily predicting one from others.

FAQs

How is "regression analysis" used in research?

"Regression analysis" is used to model the relationship between a dependent variable and one or more independent variables. It can be used for prediction, forecasting, and understanding the influence of different factors.

What are some alternatives to using the phrase "regression analysis"?

Depending on the context, you could use "statistical regression", "regression modeling", or "econometric analysis".

What is the difference between "correlation analysis" and "regression analysis"?

Correlation analysis measures the strength and direction of a relationship between two variables, while "regression analysis" aims to model and predict the value of one variable based on the values of others.

What are common mistakes when interpreting "regression analysis" results?

Common mistakes include confusing correlation with causation, extrapolating beyond the range of the data, and ignoring potential confounding variables.