TabLab

Sum of Squared Errors (SSE) Calculator

Calculate the Sum of Squared Errors (SSE) for your dataset. Measure the total squared deviation from the mean for statistical analysis.

Sum of Squared Errors Results

28.4000
694.4000
The Sum of Squared Errors (SSE) is 694.40, representing the total squared deviation from the mean of 28.40. Lower SSE values indicate data points are closer to the mean.

Distribution Plot

Calculation Details

ValueDeviation from MeanSquared Deviation
15.00-13.4000179.5600
18.00-10.4000108.1600
22.00-6.400040.9600
24.00-4.400019.3600
27.00-1.40001.9600
30.001.60002.5600
33.004.600021.1600
35.006.600043.5600
38.009.600092.1600
42.0013.6000184.9600
Sum of Squared Errors:694.4000

How to Calculate Sum of Squared Errors

  1. Enter your numeric data into the data table or upload a CSV file
  2. Select the column of data you want to analyze
  3. The calculator will compute the mean of your data
  4. The sum of squared errors (total squared deviations from the mean) will be calculated
  5. View a breakdown of each value with its deviation and squared deviation

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by @scottpaulin