- #1
Saladsamurai
- 3,020
- 7
Hello there
I have no background in statistics, but have encountered some at my job and I am seeking to better understand the nature of Data Analysis.
From Wikipedia:
But as obvious as it may be to some, I cannot for the life of me figure out why we average the squares of the error?
And why is this a better measure of accuracy than simply measuring the errors themselves?
Thanks!
I have no background in statistics, but have encountered some at my job and I am seeking to better understand the nature of Data Analysis.
From Wikipedia:
In statistics, the mean squared error or MSE of an estimator is one of many ways to quantify the amount by which an estimator differs from the true value of the quantity being estimated. As a loss function, MSE is called squared error loss. MSE measures the average of the square of the "error."
But as obvious as it may be to some, I cannot for the life of me figure out why we average the squares of the error?
And why is this a better measure of accuracy than simply measuring the errors themselves?
Thanks!