linear regression analysis

USAGE SUMMARY

"linear regression analysis" is a commonly used and correct phrase in written English.
It refers to a statistical method used to identify and analyze the relationship between two variables that can be represented by a straight line on a graph. Example: Our research project utilized linear regression analysis to examine the correlation between average income levels and educational attainment in different regions of the country.

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

b, Linear regression analysis.

Nature

Linear regression analysis is employed.

Public Health

Linear regression analysis / George A. F. Seber, Alan J. Lee.

Princeton University

Linear regression analysis / George A.F. Seber, Alan J. Lee.

Princeton University

Slopes indicating the 86Rb+ efflux rate constants (s−1) were determined from linear regression analysis.

Nature

Quantitation was done using linear regression analysis, as described previously29, 36.

Nature

Linear regression analysis indicates a positive correlation between the values (R2 = 0.633).

Nature

Table 3 Results of the linear regression analysis between DOC and CDOM spectral slope samples.

Nature

Univariate linear regression analysis of the LOS data was then undertaken.

Nature

Thus, we performed a multiple linear regression analysis, using a stepwise method.

Nature

(F) Linear regression analysis of O2 consumption as a function of body weight during feeding period.

Nature

Expert writing Tips

Best practice

When reporting results from a "linear regression analysis", always include the R-squared value to indicate the proportion of variance explained by the model.

Common error

Before relying on the results of a "linear regression analysis", verify that the relationship between the variables is indeed linear by plotting the data and checking for non-linear patterns.

Linguistic Context

The phrase "linear regression analysis" functions as a noun phrase, typically used as the subject or object of a sentence. As Ludwig AI confirms, it denotes a specific statistical method. It's frequently found in contexts where statistical methods are discussed.

Expression frequency: Very common

Frequent in

Science

75%

Academia

15%

News & Media

5%

Less common in

Formal & Business

2%

Encyclopedias

1%

Wiki

2%

Ludwig's WRAP-UP

In summary, "linear regression analysis" is a grammatically correct and highly prevalent noun phrase denoting a statistical method. As Ludwig AI points out, it's widely employed in scientific and academic contexts. The phrase's function is to describe a specific analytical technique. While alternatives like "regression analysis" exist, the specific phrasing emphasizes linearity. When using this phrase, remember to verify linearity assumptions and report key metrics like R-squared for thoroughness.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

linear regression modeling

Focuses on the process of building a linear regression model rather than just the analysis.

regression analysis

A broader term that includes linear regression but also encompasses other types of regression.

linear least squares regression

Specifies the method used to estimate the parameters in a linear regression.

ordinary least squares regression

Another name of linear least squares regression, specifically emphasizing the use of ordinary least squares.

bivariate regression analysis

Refers to linear regression when only two variables (one independent and one dependent) are involved.

multivariate regression analysis

This signifies a regression analysis involving multiple dependent variables.

simple linear regression

Highlights the simplicity and directness of the linear regression being used.

statistical regression analysis

Emphasizes that the linear regression is being used within a broader statistical framework.

regression techniques

This is a general term for different regression analysis, including linear regression.

curve fitting by least squares

This refers to the method to find the best fit to a set of data points.

FAQs

How is "linear regression analysis" used in research?

"Linear regression analysis" is used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. It is used to predict the value of the dependent variable based on the values of the independent variables.

What are some alternatives to "linear regression analysis"?

Depending on the context, alternatives to "linear regression analysis" include "regression analysis", "linear modeling", or other forms of regression such as "logistic regression" or "nonlinear regression".

When should I use "linear regression analysis" instead of other regression methods?

Use "linear regression analysis" when you expect a linear relationship between the independent and dependent variables. If the relationship is non-linear, consider methods like "polynomial regression" or "non-parametric regression".

What does a significant result from "linear regression analysis" indicate?

A significant result from "linear regression analysis" indicates that there is a statistically significant relationship between the independent and dependent variables. However, it does not prove causation, and the strength of the relationship is indicated by the R-squared value.