r2, the coefficient of determination
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The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.
The F-ratio is a statistical ratio which arises as the ratio of two chi-square distributions.If X and Y are two random variables which are independent and approximately normally distributed, then their variances have chi-squared distributions. The ration of these chi-square distributions, appropriately scaled, is called the F-ratio.The F-ratio is used extensively in analysis of variance to determine what proportion of the variation in the dependent variable is explained by an explanatory variable (and the model being tested).
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It is called the percent proportion. It is set up as a proportion and can answer any questions dealing with finding the percent of a number, or the number for the percent. For example: What is 16% of 35? You are looking for "is." The percent is given to you and the "of" is given to you. You should set up the proportion like this: is = % of 100 x = 16 35 100 Cross multiply. You now have: 100x = 560 You have to get x by itself, so you divide both sides by 100. 100x = 560 100 100 x= 5.6
If you have two items using different units of measurement, you must first convert to the same type in to percentage. Then, you can compare the ratio, It is called coefficient of variability. For example if you want to compare length with weight of two variables or populations, then first convert the measurements in percentage and then go for comparision.