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r square of vs Coefficient of determination of

Both phrases are correct, but they are used in different contexts. 'R square of' is commonly used when referring to the coefficient of determination in a more informal or simplified way, while 'coefficient of determination of' is the formal and complete term used in academic or technical writing.

Last updated: March 17, 2024 • 615 views

r square of

This phrase is correct and commonly used in informal or simplified contexts.

This phrase is a more casual way of referring to the coefficient of determination (R squared) in statistics. It is often used in conversations or presentations.

Examples:

The r square of 0.75 indicates a strong relationship between the variables.

Show examples from the web [+]

Feb 16, 2014 ... Can R Square of .15 of a full model in SEM be acceptable? Is it acceptable in a PhD. thesis? If yes then please provide some references to ...
Apr 9, 2014 ... By increasing sample size or to decrease it will ultimately affect the value of R- square of a model. Violation of many other assumptions related ...
Aug 21, 2011 ... Like you I have often heard that in sociology an R Square of 0.05 is acceptable. I sometimes wonder if that truly can be correct, or does it reflect ...
Feb 13, 2013 ... thanks a lot for the post. there is no mention how to compute r-square of multiple imputed regression logistic. what is the best way for it ? thanks.

Alternatives:

R squared value of
R square value of
Coefficient of determination value of
Determination coefficient of

Coefficient of determination of

This phrase is correct and commonly used in formal or technical contexts.

This phrase is the formal and complete term used to refer to the coefficient of determination (R squared) in statistics. It is typically used in academic papers, research reports, or technical documentation.

Examples:

The coefficient of determination of 0.75 indicates a strong relationship between the variables.

Show examples from the web [+]

The coefficient of determination of a linear regression model is the quotient of the variances of the fitted values and observed values of the dependent variable.
The coefficient of determination of a multiple linear regression model is the quotient of the variances of the fitted values and observed values of the dependent ...
So, a coefficient of determination of .81 can be interpreted as a proportion, or as 81%. For example, if you have two sets of scores on Tests X and Y, and they ...
Hence, a coefficient of determination of 0.64 or 64% means that the coefficient of correlation was 0.8 or 80%. (The range for the coefficient of correlation is -1 to ...

Alternatives:

R squared value of
R square value of
Coefficient of determination value of
Determination coefficient of

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