linear regression

USAGE SUMMARY

The term "linear regression" is correct and usable in written English.
You can use it to describe the application of linear algebra and statistics to estimate the relationship between two (or more) variables. For example: "By using linear regression to analyze the data, we were able to accurately predict our sales results."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The line actually represents a statistical calculation known as linear regression and a more accurrate description is provided above.

The New York Times

Linear regression.

Journal of Cheminformatics

Linear Regression (LR).

Vietnam Journal of Computer Science

Multiple Linear Regression.

Journal of Cheminformatics

a Linear regression method.

EURASIP Journal on Wireless Communications and Networking

linear regression model.

Journal of Applied Volcanology

maximum likelihood linear regression.

EURASIP Journal on Audio, Speech, and Music Processing

multiple linear regression analysis.

Journal of Cheminformatics

Linear regression was used.

Economic Analysis and Policy

Linear regression assesses trend.

Journal of Surgical Research

Multiple linear regression is a variant of "linear regression" analysis.

Journal of Big Data

Expert writing Tips

Best practice

When describing the application of "linear regression", be specific about the variables being analyzed and the context of the analysis. For example, instead of saying "Linear regression was used", specify "Linear regression was used to analyze the relationship between income and education level".

Common error

A common mistake is to assume that because "linear regression" shows a relationship between two variables, one causes the other. Always remember that correlation does not equal causation and further investigation may be needed to determine causality.

Linguistic Context

The primary grammatical function of "linear regression" is as a noun phrase that refers to a statistical method. As Ludwig AI confirms, it's a correct and usable term in English, denoting a specific application of linear algebra and statistics.

Expression frequency: Very common

Frequent in

Science

77%

News & Media

12%

Formal & Business

11%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "linear regression" is a grammatically correct and very commonly used noun phrase that refers to a statistical method for modeling the relationship between variables. Ludwig AI validates its usage in various contexts, particularly in science, news and media, and formal business settings. While widely applicable, it's important to avoid misinterpreting correlation as causation. Related phrases include "multiple regression analysis" and "ordinary least squares regression". Remember to be specific when describing its application and be mindful of the potential for misinterpreting results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Ordinary least squares regression

Refers to a specific type of linear regression that minimizes the sum of the squares of the errors.

Multiple regression analysis

Involves predicting a dependent variable using multiple independent variables, extending the basic linear regression model.

Simple linear model

Emphasizes the simplicity and fundamental nature of the linear relationship being modeled.

Regression modeling

A broader term that encompasses various regression techniques, including linear regression.

Least squares estimation

Highlights the method used to estimate the parameters in a linear regression model.

Trend line analysis

Focuses on identifying and analyzing trends in data using a linear representation.

Statistical modeling of linear relationships

Explicitly describes the process of using statistical techniques to model linear relationships between variables.

Best fit line

A simple way to refer to the line derived from linear regression that best represents the data.

Predictive linear modeling

Highlights the use of linear regression for making predictions based on observed data.

Linear dependence analysis

Focuses on determining the extent to which one variable is linearly dependent on another.

FAQs

How can I use "linear regression" in a sentence?

You can use "linear regression" to describe the process of modeling the relationship between a dependent variable and one or more independent variables. For example: "The researchers used "linear regression" to predict sales based on advertising spending".

What are some alternatives to saying "linear regression"?

Depending on the context, you could use alternatives such as "multiple regression analysis", "ordinary least squares regression", or "regression modeling".

What is the difference between "linear regression" and multiple regression?

"Linear regression" typically refers to a model with one independent variable, while multiple regression analysis involves two or more independent variables to predict a single dependent variable.

When is it appropriate to use "linear regression"?

"Linear regression" is appropriate when you want to model a linear relationship between variables and predict the value of a dependent variable based on the values of one or more independent variables. It is most effective when the relationship between the variables is approximately linear and the assumptions of linear regression are met.