linearity
1
5.6
- noun
- /ˌlaɪnɪˈɛrɪti/
- Specialized
:
linealidad
- Understanding linearity is crucial when creating models that predict outcomes based on two related variables.
- assumptions of linearity
- deviation from linearity
- departure from linearity
Examples
-
Inspection of scatter plots showed that the assumptions of linearity and homogeneity of variance were met.
Academic text (1999) -
The correlation of the residuals with the predicted values was used to verify the linearity of the regression.
Academic text (1996) -
The Max is not independent of the minimum, but linearity always holds.
-
The data generally depart from linearity for reasons that experimenters identify and allow for.
Academic text (1994) -
The assumptions of linearity and multicollinearity were assessed for the proposed covariates in the model.
Academic text (2011) -
A scatter plot pairing each of the 34 variables in turn was plotted to determine the linearity of the relationship.
Academic text (2010) -
Examinations of histograms and scatter plots indicated that the assumptions for linearity, normality, and homoscedasticity were met.
Academic text (2013) -
In statistics, linearity describes a relationship where a change in one variable results in a proportional change in another variable.
-
The research demonstrated a clear linearity between the increase in temperature and the expansion of the material.
Synonyms
5
4.2
A relationship where two things increase or decrease together
Antonyms
- Specialized
1
8.1
In math or science, a situation where small changes cause big effects
How Linear
Surface Forms
Morphology
Etymology
Linearity comes from linear, from the Latin linea meaning 'line'. Imagine points on a graph that fall on a single straight line, and you can see why linearity means a direct, straight-line relationship between two things.