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UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, DC 20549Form 10Q (Mark One) QUARTERLY REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the quarterly period
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SEEs stands for Standard Error of Estimate. It is a measure of how well the line of best fit approximates the actual data points in a regression analysis.
SEEs is typically calculated and reported by statisticians or researchers conducting regression analysis.
To calculate SEEs, you would first need to compute the residuals (the differences between the actual data points and the predicted values from the regression line), square these residuals, sum them up, divide by the degrees of freedom, and then take the square root of the result.
The purpose of SEEs is to provide a measure of the variability of the data points around the regression line. A lower SEEs indicates a better fit of the regression line to the data.
The SEEs value itself is the main information reported, along with the method used to calculate it and the interpretation of its significance in the context of the regression analysis.
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