Search results
Results from the WOW.Com Content Network
Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
National Physical Laboratory (1961), "Chapter 2: Linear Equations and Matrices: Direct Methods on Automatic Computers", Modern Computing Methods, Notes on Applied Science, vol. 16 (2nd ed.), Her Majesty's Stationery Office
I believe that R-squared is a measure of variability aligned rather than variability accounted for. With respect to correlation is not causation, consider R-squared as variabilty "aligned" rather than "accounted for." For example, if the number of churches in cities is correlated with the number of bars in cites, say .9 , then R-squared is .81.
For example, if you’ve already set aside $25,000 in a savings account, you could open a six-month CD with an annual percentage yield (APY) of 4.50 percent and withdraw $556.31 in interest ...
1. Eat Nutritious Foods. Your eating habits might be a little different during the winter, and in general, healthy eating can be harder. To avoid weight gain, aim for a balanced diet of nutritious ...
If you're looking for some additional holiday gift ideas for the little ones in your life, we can't say enough about the Hanna Andersson pajama sale happening right now.
This page was last edited on 12 June 2006, at 01:51 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...
The last value listed, labelled “r2CU” is the pseudo-r-squared by Nagelkerke and is the same as the pseudo-r-squared by Cragg and Uhler. Pseudo-R-squared values are used when the outcome variable is nominal or ordinal such that the coefficient of determination R 2 cannot be applied as a measure for goodness of fit and when a likelihood ...