was due to a low regression coefficient vs was due to a low efficiency

Both phrases are correct, but they convey different meanings. 'Was due to a low regression coefficient' implies that the reason for something is related to a low regression coefficient, while 'was due to a low efficiency' suggests that the reason is linked to a lack of efficiency. The choice between the two depends on the specific context and what aspect you want to emphasize.

Last updated: March 17, 2024 • 780 views

was due to a low regression coefficient

This phrase is correct and commonly used in the context of statistical analysis or regression modeling.

This phrase is used to explain that the reason for something is related to a low regression coefficient, which is a statistical measure of the relationship between variables.

Examples:

The poor predictive performance of the model was due to a low regression coefficient for the key variable.

Alternatives:

The reason for this outcome was a low regression coefficient.

was due to a low efficiency

This phrase is correct and can be used to explain that the reason for something is a lack of efficiency.

This phrase is suitable when attributing a cause to a situation where efficiency is lacking or suboptimal.

Examples:

The delay in project completion was due to a low efficiency in resource allocation.

Show examples from the web [+]

was due to a low efficiency of immunoprecipitation, identical results were also obtained by repetitive rounds of immuno- precipitation. Further, alterations of the ...
Sep 10, 2008 ... It remains unknown whether this low replication was due to a low efficiency of RNA capping, a low rate of transfection, or a unique property of ...
Jan 17, 2006 ... The choice of a different strain for this experiment was due to a low efficiency of both protoplast transformation, electroporation and conjugation ...
Mar 30, 2009 ... The reduced seed number phenotype in silenced plants was due to a low efficiency of self-fertilization; however, neither pollen nor ovule ...

Alternatives:

The reason for this issue was a lack of efficiency.

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was due to a low regression coefficient vs was due to a low efficiency