Best Answer: Yes, sweating is quite common. It usually stains any white shirts and any other shirts. It helps to soak those shirts in some white vinegar and baking ...
R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression.The definition of R-squared is fairly straight-forward; it is the percentage of the response variable variation that is explained by a linear model.-squared = Explained variation / Total variation. R-squared is always between 0 and 100%: 1  0% indicates that the model explains none of the variability of the response data around its mean. 2  100% indicates that the model explains all the variability of the response data around its mean.
You can have a low R-squared value for a good model, or a high R-squared value for a model that does not fit the data! The R-squared in your output is a biased estimate of the population R-squared. Are Low R-squared Values Inherently Bad? No! There are two major reasons why it can be just fine to have low R-squared values. In some fields, it is entirely expected that your R-squared values will be low. For example, any field that attempts to predict human behavior, such as psychology, typically has R-squared values lower than 50%.