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What is the sum of the squared distances from the mean?

What is the sum of the squared distances from the mean?-example-1
User Marc Schulder
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Answer:

The sum of squares is the sum of the square of variation, where variation is defined as the spread between each individual value and the mean. To determine the sum of squares, the distance between each data point and the line of best fit is squared and then summed up. The line of best fit will minimize this value.

User JJSmith
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