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.
R Squared and Adjusted R Squared. Regression analysis evaluates the effects of one or more independent variables on a single dependent variable. Regression arrives at an equation to predict performance based on each of the inputs. The R Squared and Adjusted R Squared values give the goodness of fit. Anything over 0.80 (80%) is considered a good fit. R Squared can be biased. So, Adjusted R Squared tweaks the R Squared based on degrees of freedom. Analysis: If R Squared is greater than 0.80, as it is in this case, there is a good fit to the data. Some statistics references recommend using the Adjusted R Squared value.In this example, R Squared of 0.980 means that 98% of the variation can be explained the independent variables.