Significant Variables vs independent variables were recognized to predict

The two phrases are not directly comparable as they serve different purposes. 'Significant variables' refers to variables that have a notable impact on a situation, while 'independent variables were recognized to predict' seems to be a partial sentence that lacks context. If the intention is to discuss variables that predict outcomes independently, a more complete phrase like 'independent variables were recognized as predictors' would be more appropriate.

Last updated: March 17, 2024 • 456 views

Significant Variables

This phrase is correct and commonly used in English.

This phrase refers to variables that have a notable impact on a situation or outcome. It is often used in statistical analysis or research.

Show examples from the web [+]

Sep 24, 2012 ... Question updated. But then how would I predict significant variables from the linear model – jerry Sep 24 '12 at 18:45 ...
Jan 18, 2015 ... Should I remove non-significant variables from my regression model. up vote 3 down vote favorite. 1. I have run a multiple linear regression ...
Significant variables are the variables whose change will alter or affect the outcome of the experiment. Variables that are not significant may also alter the ...
... output in Figure 3 and 4 of Multiple Regression Analysis to determine the values of cells AD4, AD5, AD6, AE4 and AE5). Significant variables regression Excel.

independent variables were recognized to predict

This phrase is not a complete or common construction in English.

If the intention is to discuss variables that predict outcomes independently, a more complete phrase like 'independent variables were recognized as predictors' would be more appropriate.

Alternatives:

independent variables were recognized as predictors

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Significant Variables vs independent variables were recognized to predict