FORESTRY
AGRICULTURAL STATISTICS AND ECONOMICS
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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The answer to this question is beyond the parameters of my intellectual understanding.
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I need to study more.
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Detailed explanation-1: -Standard deviation is the square root of the variance and is expressed in the same units as the data set. Variance can be expressed in squared units or as a percentage (especially in the context of finance).
Detailed explanation-2: -The standard error of estimate, Se, indicates approximately how much error you make when you use the predicted value for Y (on the least-squares line) instead of the actual value of Y.
Detailed explanation-3: -Answer and Explanation: The standard error of the estimate measures the residual error, that is the unexplained variation in the experiment. It is either denoted as s or SE in most of the software outputs. Smaller the value of the standard error of estimate, the better the fit of the model.