Confidence intervals for regression coefficients, interpret and understand, Excel and calculation

Рет қаралды 29,317

Күн бұрын

Dr Nic gives a thorough explanation of confidence intervals for coefficients in linear and multiple regression models.
This follows on from Multiple Regression Overview: • Multiple Regression: A...
and
Multiple Regression- Dummy or Indicator Variables: • Multiple Regression - ...
and
Multiple Regression - interpreting coefficients • Multiple Regression - ...
Timing
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0:00 Introduction
0:55 Two processes
1:55 sampling error
2:19 Interpret Excel output
3:45 You try
5:10 Calculating the confidence interval
7:00 Join the channel
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Dr Nic Videos about Multiple Regression
==================================
Overview • Multiple Regression: A...
Inference (t-tests and F-test) • Multiple Regression - ...
Dummy Variables • Multiple Regression - ...
Interpreting coefficients (this one)
============================================
Dr Nic Videos about Confidence Intervals
Understanding Confidence intervals - • Understanding Confiden...
See creativemaths.net/videos/ for all of Dr Nic's videos organised by topic.
#Statistics #DrNicStats

Пікірлер: 34

@marianalourenco6722 2 жыл бұрын

Dr Nic, i can't thank you enough for all this great content

@DrNic 2 жыл бұрын

My pleasure!

@andreyleurossa3365 6 ай бұрын

Thanks for the great video! Also, I think it's the first time I'm hearing a New-Zealander accent. So sweet!

@DrNic 6 ай бұрын

Glad you enjoyed it!

@RaviShankar-jm1qw Жыл бұрын

Awesome explanation. Loved your comment on Sampling error that it's not an error per se but the variation due to different samples :)

@DrNic Жыл бұрын

Glad it was helpful!

@osevas84 3 жыл бұрын

I like your videos a lot. Thank you!

@DrNic 3 жыл бұрын

Thank you for your comment. I sometimes wonder if they are hitting the spot, so it's good to get feedback.

@statisticsuop 3 жыл бұрын

I like your way of teaching.. Thanks for your informative videos

@DrNic 3 жыл бұрын

So nice of you

@cooky123 2 жыл бұрын

Thank youuuu great explanation!

@DrNic 2 жыл бұрын

Glad to be of help

@yulinliu850 3 жыл бұрын

Thanks for sharing.

@DrNic 3 жыл бұрын

Thanks for watching!

@10tgill 2 жыл бұрын

Great videos. I forgot all my stats knowledge from school and your vids have really helped me remember!

@DrNic 2 жыл бұрын

Happy to help!

@mlem7108 3 жыл бұрын

Always a pleasure

@DrNic 3 жыл бұрын

thanks

@sadiasultana3503 Жыл бұрын

Thanks for excellent explanation of confidence interval. Kindly explain, how to interpret confidence interval of Intercept.

@DrNic Жыл бұрын

Generally the intercept has no sensible interpretation as it is outside the range of the data used to create the model. I think I explain that in one of the other regression videos - the first one.

@fernandofavela Жыл бұрын

🙌

@DrNic Жыл бұрын

thanks

@shreyasshetty9538 9 ай бұрын

just have 1 question while considering the Age co-effcient we considersed it as for every 1 year the car gets older and when it cames to km co-efficient you considered for every 1000 km , just had a small doubt: why didnt we go with every 1km instead of every 1000km , the car travels more its price gets reduced by a certain range value, since for Age we consider as for every 1 year . may i know on what after the unit 1 or 1000 gets decided for interpreation ?

@larissacury7714 2 жыл бұрын

Hi! thank you! therefore, the CI should always contain our size effects/coefficients, right?

@DrNic 2 жыл бұрын

The confidence interval will always contain the statistic from the sample. However we can only be , for example, 95% confident that they contain the population parameter.

@larissacury7714 2 жыл бұрын

@@DrNic thank you!

@yaweli2968 2 жыл бұрын

if you want to estimate the price within some confidence interval, how can you come up with the standard error for the price?

@DrNic 2 жыл бұрын

In some computer packages you are given the standard error. It is the square root of (the sum of squares residual divided by the degrees of freedom). That would give the confidence interval for the mean of the price for those input values.