Examples of 'interaction terms' in a sentence
Meaning of "interaction terms"
Interaction terms, in the context of statistics or data analysis, refer to variables or factors that are combined or multiplied together to assess their combined effect or impact on a particular outcome or response variable. They help to model and understand how the relationship between two or more predictor variables changes under different conditions or levels of other variables
How to use "interaction terms" in a sentence
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interaction terms
Only the triple interaction terms are reported.
No interaction terms are needed since there is no concept of membrane number.
The presence of interaction terms in the.
These interaction terms were separately and jointly insignificant.
It is observed that all the interaction terms are significant.
Interaction terms reflect development level and regional specificities.
The final model included three interaction terms.
All other interaction terms are additive.
This calculation is readily extended to the case of multiple variables and interaction terms.
All other policy change interaction terms are statistically insignificant.
Interaction terms in regression.
The coefficients on the interaction terms are the respective elasticities.
Interaction terms for Cd were not significant.
Interactions between particles are described by interaction terms in the Lagrangian involving their corresponding fields.
No interaction terms were significant so they were omitted from the final model.
See also
The Yukawa interaction terms are.
The interaction terms interval x genotype and interval x genotype x antibody were also significant.
OSNR and PMD are obtained from interaction terms between two orthogonal polarization arms.
Interaction terms as well as dayj2 terms were removed if they were not statistically significant.
Models with non-linear interaction terms provided very different conclusions.
Interaction terms were verified among all predictors, however no interaction was found among variables.
The log-linear regression model allows interaction terms representing dependenciesbetween samples.
El Interaction terms were not included in the model.
However, there is nothing stopping you from including interaction terms in a regression model.
Of interaction terms.
The idea is, in a first step, to build a Lagrangian containing these interaction terms.
A model containing interaction terms was fit to the release data.
It was a quadratic model including pH-buffer and buffer-buffer interaction terms.
Sample counts for the interaction terms used in the models are not provided.
Therefore, it is recommended to test only clinically plausible and understandable 2-way interaction terms.
Positive coefficients for interaction terms indicate that the components in the term act synergistically.
Our potential includes the morse-stretch, charge-charge, charge-dipole and dipole-dipole interaction terms.
Model With Interaction Terms The results of the incrementality regression models are shown below.
Three additional models ( models 6-8 ) including interaction terms that were postulated a priori were also considered.
However, all interaction terms are very far from statistical significance.
That said, some interaction terms appeared to be more important than others.
Most of the interaction terms are non-significant and therefore can be eliminated.
None of the interaction terms reached significance at the 5 % significance level.
Gender interaction terms were included for age, height, weight, and GS.
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