Excel: Standard Errors in Linear Regression

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Definition of standard errors for coefficients and slope in linear regression. How to calculate them in Excel and run a hypothesis test to see if the coefficients are significant.
00:00 Intro
00:31 Adding a scatterplot and trendline
01:15 Performing regression
02:07 Defining Standard Errors
03:53 Hypothesis testing with SE
  1. Prof. Essa
  2. are standard errors significant
  3. standard error for the slope
  4. standard error hypothesis test
  5. standard error of coefficients
  6. standard errors in linear regression
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Комментарии
Автор

Thank you so much! That was really helpful!

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

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

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

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

EileenBokat
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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?

growlife
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you didnt show the exact formula of standard error

yt-
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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?

cicinindivin
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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.

pierregravel-primeau
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So what is the standard error ?
Waste of time

yt-