Which one/ones is/are preferable in classical linear regression model?
1.high variance of estimated beta
2.high zvalue
3.high tvalue
4.sum of squared deviated X(independent variables)
Please explain simply.
This is not a homework.

Which one/ones is/are preferable in classical linear regression model?
1.high variance of estimated beta
2.high zvalue
3.high tvalue
4.sum of squared deviated X(independent variables)
Please explain simply.
This is not a homework.
The answer to your question can be found here.
Since this is not a homework question, this page should be very helpful to you.
No, the site never mentions variance of estimated beta, zvalue, tvalue, and squared deviated X, but variance of error terms, and X.
I think you did not read the website carefully!!!
Actually, it does.
True... but see below.
What it does describe is the basics of how it works. It doesn't use your exact wording however, it explains the same principles.
If you follow along and learn the process, all the answers are there.
However, if it's a homework question and you scanned the page looking for those specifics in order to plug an answer into a question without learning the material, then the page wouldn't help you much.
But as I said, since it's not a homework question, it should help you all the way.
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