Question

The mean square of error denoted as MSE = ___________. Where SSE is the sum of squares of error, n is number of data points and m is number of samples.
1. SSE/(n - m - 2)
2. SSE/(n + m)
3. SSE/(n + m - 2)
4. SSE/(n - m)

Answer 1

Correct Answer - Option 4 : SSE/(n - m)

Formula

MSE = SSE/Degree of freedom

MSE = Variance within the samples

SSE = Sum of the squares of the error

Calculation 

For one - way classification model degree of freedom = n - m

n = Number of data

m = number of sample

∴ MSE = SSE/(n - m)