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variance of about vs explained variance of about

The phrase 'explained variance of about' is correct, while 'variance of about' is incomplete and does not convey a clear meaning. 'Explained variance of about' is commonly used in statistics to refer to the portion of the total variance in a dataset that is accounted for by a particular model or factor.

Last updated: March 19, 2024 • 752 views

This phrase is incomplete and does not convey a clear meaning. It lacks context and specificity.

"variance of about"

This phrase is not commonly used in English. To convey a clear meaning, it needs to be part of a larger sentence or context.
  • and variance of about 1/4. Under this transformation, the convergence to normality (as λ increases) is far faster than the untransformed variable. Other, slightly ...
  • Mar 13, 2013 ... We estimate that measurements of the local Hubble constant are subject to a cosmic variance of about 2.4% (limiting the local sample to ...
  • Jun 13, 2013 ... We estimate that measurements of the local Hubble constant are subject to a cosmic variance of about 2.4% (limiting the local sample to ...
  • Jul 4, 2012 ... Thus, Y was simulated to resemble a trait with heritability around 0.40, a mean equal to 350 kg and a phenotypic variance of about 480 kg² ...

This phrase is correct and commonly used in statistics to refer to the portion of the total variance in a dataset that is accounted for by a particular model or factor.

"explained variance of about"

This phrase is used in statistics to describe the proportion of variance in a dataset that is explained by a specific model or factor. It helps in understanding the effectiveness of the model in capturing the variability in the data.

Examples:

  • The principal component analysis resulted in an explained variance of about 70%.
  • The regression model showed an explained variance of about 85%.
  • The factor analysis revealed an explained variance of about 60%.
  • The linear model explained variance of about 75% in the data.
  • The ANOVA analysis indicated an explained variance of about 50%.
  • The preliminary tests indicated an explained variance of about 90% in rather simple models using multiple regression. This is a first indication that this step in the ...
  • Dec 1, 2005 ... overall explained variance of about 10%. The model- derived KT04-explained variance (based instead upon pressure, which is obviously ...
  • Oct 19, 2012 ... and an explained variance of about 0.7. An RMSE of less than 2 K was reached by three predictor sets at a target resolution of 300 m, at 1,000 ...
  • ... and the multiple R is similar to that found by path analysis, reflecting explained variance of about 0.5. The deviations of PD, CR, and BL are not monotonic but ...

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