Question

If we use the mean as a model, what does the variance represent? Question 8 options:...

If we use the mean as a model, what does the variance represent?

Question 8 options:

a)

The average error between the model and the observed data.

b)

The total error between the model and the observed data.

c)

The squared total error between the model and the observed data.

d)

The square-rooted average error between the model and the observed data.

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Answer #1

The variance measures how far each number in the set is from the mean.

Variance is calculated by taking the differences between each number in the set and the mean, squaring the differences and dividing the sum of the squares by the number of values in the set.

Therefore correct option is

c)

The squared total error between the model and the observed data.

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