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simple regression

simple regression

6.1
A method that uses one number to predict another number
  • noun
  • /ˈsɪmpəl rɪˈɡrɛʃən/
  • Specialized
translation icon : regresión simple
  • The researchers used simple regression to analyze the relationship between study hours and exam scores.
  • simple regression analysis
  • simple regression model

Examples

  • Like a Pearson correlation coefficient, the simple regression equation among the most preferred approaches is a practical statistical tool to define the linear relationship between body weight and a body measurement (Eyduran et al., 2009).

    Academic text (2013)
  • Our data also permitted the development of a simple regression model that uses institutional size (number of library books and journal volumes) to predict the expected change in journal costs associated with the widespread adoption of open-access pricing.

    Academic text (2007)
  • Simple regression and zero-order correlations were performed on all the variables.

    Academic text (1990)
  • Three simple regressions were retained in the final regression analysis as follows: academic performance and sleep latency; academic performance and sleep medicine; and job performance and sleep quality.

    Academic text (2014)
  • Simple regression analyses were conducted to examine the relationships of bicycle background variables on the total bicycle law knowledge of the respondents.

    Academic text (2012)
  • A simple regression was calculated using total WDQ scores as the predictor variable and total MSHS scores as the criterion.

    Academic text (2002)
  • First, adolescent emotional tone and self-esteem were examined in simple regression models, with the most highly predictive variable retained in subsequent analyses.

    Academic text (1999)
  • One can conclude that simple regression models of student persistence fail to present a complete picture and that the intervening variable approach provides greater insight into the reasons students intend to persist.

    Academic text (1995)
  • A simple regression analysis was implemented to enter the variables GPA, pretest scores, science efficacy, how prepared for the course, test anxiety, state anxiety, and science attitude scores.

    Academic text (2007)
  • As an initial step, adolescent (9th grade) emotional tone and self-esteem were examined separately in simple regression analyses predicting each of the young adult outcomes.

    Academic text (1999)

Synonyms

regression
vssimple regression
  • Specialized
14 7.2

A way of using data to find how one number predicts another

is limited to two variables rather than multiple predictors
regression analysis
vssimple regression
  • Specialized
3 6.6

A way that uses past data to find how one thing depends on others and predict it

focuses on only two variables instead of several predictors
linear regression
vssimple regression
  • Specialized
1 3.9

A way to use a straight line to show how one number changes with another

applies only to two variables rather than many predictors
statistical regression
vssimple regression
  • Specialized
6.0

A method that finds how one value depends on others to predict that value

uses exactly two variables rather than one or more inputs

How Complex

complex function
  • Specialized
8.5
multiple regression
  • Specialized
1 5.3
simple regression
  • Specialized
6.1

Surface Forms

Morphology

simple + regression

The meaning 'a basic or uncomplicated form of regression' is directly derivable from combining 'simple' (basic/not complex) with 'regression' (a statistical model relating variables). The modifier-noun pattern is transparent and common in technical and everyday language (e.g., 'simple model' vs 'complex model'), so a learner who knows both words can infer the intended basic/one-predictor sense.

Etymology

The term simple regression comes from the image of points on a graph with one straight line through them; simple means it uses only one thing to explain another and regression is the line that shows how they move together. So the line helps you 'predict' one value from the other.