Examples of 'r-squared' in a sentence
Meaning of "r-squared"
R-squared (verb): The act of calculating the coefficient of determination, a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable
How to use "r-squared" in a sentence
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r-squared
This R-Squared post has some useful stats.
The measurement has a mean of nu and a covariance of r-squared.
R-squared is a measure of goodness of fit ofthe regression model.
This leads to an increase in the R-squared value.
So the model r-squared is the same as in the last segment.
Interpreting a model with a low R-squared.
R-squared is a measure of the association between a fund and its benchmark.
None of the selected common components in Table 1 contributed significantly to the R-squared value.
R-squared or coefficient of determination.
When analyzing data with a multinomial logistic regression, there is no an equivalent statistic to R-squared.
The R-squared value is a measurement of how reliable the beta number is.
When analyzing data with a logistic regression, an equivalent statistic to R-squared does not exist.
A low predicted R-squared is a good way to check for this problem.
This is typically verified by nothing more than quoting the R-squared statistic from the fit.
However, R-squared is unable to determine whether the data points or predictions are biased.
See also
The analysis starts with the unique contribution of each variable to the overall R-squared value.
A high r-squared value can be associated with a high positive or negative Slope.
We have a very low R-Squared.
A high R-squared value does not necessarily mean the model fits the data well.
Definition of R-Squared.
The predicted R-squared indicates how well a regression model predicts responses for new observations.
The wheels on the bus go pi R-squared.
R-squared value tel telephone number.
If it is not R-Squared and my man Dembe.
R-squared measures how well an investment 's returns correlate to an index.
If a portfolio 's return bears no relationship to the market 's return, its R-squared will be zero.
The r-squared does not change.
The wheels on the bus go pi R-squared I am blue!
Unfortunately, R-squared does not respect this natural ceiling.
Still, generally, other things being equal, a high r-squared is better than a low r-squared.
Or is the R-squared higher because it has more predictors?
See also R-Squared.
An R-squared value near to ‘ 1 ' means the model is a good model and capable of predictions.
If a portfolio 's return bore no relationship to the market 's returns, its R-squared would be 0.
On the other hand, R-squared measures correlation rather than sensitivity.
If a portfolio 's return has no relationship with the market 's returns, its R-squared would be 0 %.
Therefore, the R-squared value is higher for the fund in second chart.
And it 's also called R-squared.
Display R-squared value on the chart.
The adequacy of the correlations was characterized by the statistical R-squared ( R2 ) value1.
Additionally, we displayed R-squared value, also called the Coefficient of Determination.
R-squared = percent of variance explained.
Adjusted R-squared values i.
R-Squared, R-Squared is the measure of correlation between a fund and the market ( benchmark ).
My passions exceed Pi R-squared times infinity"?
All r-squared values shown are significant at the 95 % confidence level or greater.
