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Since covariance measures how much variables change together, we combined it with a threshold to couple data that should be considered to be the same.
We combined the following statistical and algebraic methods: covariance (COV), which measures how much variables change together; and the Minimal Sets Algorithm (MSA) [ 26], which identifies directional functional relationships between genes.
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In this analysis, we were interested in which of the controllable variables (PRESS PRESSURE, AUGER SPEED, and DROP TEMPERATURE) were most important in the output variables (ASH, FAT, MOISTURE, and PROTEIN), which is to say, how much variability in those output variables is explained by the controllable variables.
R square, the square of Pearson's correlation is a measure of how much variability in one variable is explained by the variability in the other.
A hierarchical regression modelling strategy was applied by first including socio-economic status (SES) variables, then checking how much variability was accounted for by dental anxiety and SOC, and at the last step, SES, dental anxiety, SOC, and self-reported oral health were included for the full model thereby examining the contribution of each specific measuring area of interest.
The number of input variables at peak estimated performance determines how much input variables are used in the final model.
The formulation of Bayes' theorem is a devilishly complex bit of statistics that calculates the probabilistic relationship between different variables and how much one variable affects another.
Stake's intention is to demonstrate just how subjective rankings are, to show how determinations of "quality" turn on relatively arbitrary judgments about how much different variables should be weighted.
Often used to analyze thermometer reading accuracy, correlation is an estimate of how much two variables change in relation to one another.
Table 2 shows the three positive controls with negative IC025 that obtained highest ranks and the three positive controls that obtained overall lowest ranks, according to vigiRank.> -wrap-foot> adverseerse drug reaction, IC information component, INF informative reporting aNumbers in parentheses indicate how much the variables contribute to the algorithm's score, for a particular drug ADR pair.
We included year as a dummy variable in models and used partial R 2 values to interpret how much each variable contributed to the overall variance of the model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com