The phrase "a majority of variance" is correct and usable in written English.
It can be used in contexts such as statistics, data analysis, or research to describe how much of the variability in a dataset can be explained by certain factors or variables.
Example: "The model explained a majority of variance in the data, indicating that the selected variables were significant predictors."
Alternatives: "most of the variance" or "the bulk of the variance".
Information obtained from subjects and from informants together accounted for a majority of the variance of the consensus ratings.
The obtained CoMFA model showed high predictive ability with q2 = 0.556, r2 = 0.936 and standard error of estimation (SEE) = 0.231, explaining a majority of the variance in the data with four principal components.
Genetic factors explain a majority of risk variance for age-related macular degeneration (AMD).
Our results show that forest age accounts for a majority of the variance in SID, and more than either height or biomass (Table 2).
A majority of the variance in the data could be captured by a quadratic surface that showed that the muscle force patterns were similar when the spatial uncertainty of the visual feedback was high and temporal uncertainty was low and vice versa.
They find a very strong correlation between the logarithm of z and MI and infer that MI was highly predictive of site-specific (1 bp resolution) mutation rates … and could explain 90% of the variability in mutation rates at sites across the genome…..We conclude that our statistical model of mutability can explain a majority of the variance in site-specific mutation rates.
MI was highly predictive of site-specific (1 bp resolution) mutation rates … and could explain 90% of the variability in mutation rates at sites across the genome…..We conclude that our statistical model of mutability can explain a majority of the variance in site-specific mutation rates.
The first five factors represented a majority of the variance in the dataset and were summarized as factors containing 1) medium- and long-chain acylcarnitines, 2) fatty acids and by-products of fatty acid oxidation, 3) long-chain acylcarnitines and acetylcarnitine, 4) large neutral amino acids and uric acid, and 5) medium-chain acylcarnitines and glucose.
Among women in non-DDT IRS households, no single factor accounted for a majority of the explained variance in the fitted models for DDT (Table 3).
Mutations with at least a twofold stronger effect in sex 1, relative to sex 2, account for a majority of the fitness variance in sex 1, despite a strong positive correlation of selection coefficients between the sexes.
