Excel: Standard Errors in Linear Regression 

Thank you so much professor. You just saved my life ❤️ Concise and amazing explanation. Thanks alot.

Dear Professor, How many times must the estimate be over standard error for it to be statistically significant. E.g if the intercept coefficient estimate was 3 and the actual value was 9.014, the total difference would be 6.014. That is 6.014/2.872 = 2.09 times standard error. would that be statistically significant?

you didnt show the exact formula of standard error

You’ve just saved me a lot of time thank you so much 🙌🏾🙌🏾🙌🏾

are you sure that degrees of freedom are 8 and not 9 for the intercept, or slope, taken individually? I know that the degree are 8 for the whole regression, but i would expect that for the intercept alone they should be compared with t crit. of n - 1... where am I wrong?

In the words of crunk “Oh yea, it’s all coming together now”

Wow. This helped so much, thank you!!!!

THANK YOU VERY MUCH

Very helpful, Prof. Essa. thank you

amazing explanation

thank you very much

very good recommend

That's dumb. You square the error and then forget about what you were doing. I want to know how to calculate them and I can read an excel manual.

So what is the standard error ? Waste of time