Mean Squared Error, Sum of Squared Error Calculator

Here is the free online mean squared error calculator to find the mean squared error and the sum of squared errors for the given range of data. Enter a set of values separated by a comma, the sum of squared error calculator will give you the result.

Here is the free online mean squared error calculator to find the mean squared error and the sum of squared errors for the given range of data. Enter a set of values separated by a comma, the sum of squared error calculator will give you the result.

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Formula :

MSE = SSE / n Where, MSE = Mean Squared Error SSE = Sum of Squared Error n = Number of Population

Calculate the mean squared error and sum of squared error using this simple online mean squared error calculator. Just enter the population values in this sum of squared error calculator to know the squared errors.

Mean Squared Error (MSE): It is a measure of how close a fitted line is to data points. It is an average of the squares of the difference between the actual observations and the predicted observations. The Mean Squared Error is used to forecast accuracy in business analysis and supply chain management.

MSE is just the sum of squared errors divided by the number of population or the values in the data range. It comprises the variance of the estimator and the squared bias. Mathematically, MSE is calculated by finding the regression line, insert the X values into the linear regression equation to find the new Y values (Y'), subtract the new Y value from the original to get the errors, square the errors, sum the errors and finding the mean.

Feel free to try this online mean squared error & sum of squared error calculator to simplify your calculation with ease.

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