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The Sum of Squared Errors is calculated as o The sum of the squared differences

ID: 3664775 • Letter: T

Question

The Sum of Squared Errors is calculated as o The sum of the squared differences between each data point and the average x-value for the data set. o The sum of the squared differences from each data point between the average y-value for the data set The sum of the squared differences from each data point and the best-fit line in the x- direction. o The sum of the squared differences from each data point and the best-fit line in the y- direction. O The sum of the squared perpendicular distance between each data point and the best-fit line.

Explanation / Answer

Answer: Option 4.

The sum of the squared differences from each data point and the best-fit line in the y-direction.

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