Standard Error of the Estimate used in Regression Analysis (Mean Square Error)

An example of how to calculate the standard error of the estimate (Mean Square Error) used in simple linear regression analysis. This typically taught in statistics.

Link to Playlist on Regression Analysis

Created by David Longstreet, Professor of the Universe, MyBookSucks

[mingsiu]

this is times more useful than attending lectures

[indian_street_view]

You made this so simple, even non mathematical background students can understand this. You have no idea how your videos helping me in my career. I can't thank you enough for this

[statisticsfun]

Great question! It is "degrees of freedom" or df. The reason we use 2 is because we have 2 variables (x and y) in this case. If we had more than 2 variables like x, y, and z the df would be n-3.

In an earlier video I show how the regression line is forced through the point where the mean of x and y intersect. These "2" points are not included in the "average of the errors" because the error at these 2 points is 0.

I need to create a video on d.f. for sure.

[statisticsfun]

Thank you for the feedback, much appreciated.

Make sure you like MyBookSucks on FaceBook (see link in video description). This will help other students find the educational videos and help them "see" too :).

[Coreyrob]

Every stat student should have to watch something like this so they can understand why they shouldn't be intimidated learning this stuff. You did an excellent job with this series of videos, thank you so much.

[statisticsfun]

The link to the playlist on regression is in the video description (of this video). Youtube does not allow me to add links in comments.

[statisticsfun]

Aren't you sweet!

Make sure you give me some love on FaceBook and Like MyBookSucks (see link in video description). This will help others find the educational videos and fall in love with me too.

[statisticsfun]

Thank you and I appreciate the feedback. Make sure you like MyBookSucks on Facebook (see link in video description). This will help others find the educational videos.

[statisticsfun]

Bridgette, yes I do. This video is part of a larger playlist. If will see a link to the entire playlist in the video description. In the second video I discuss how to calculate all the coefficients.

[thehokipoki]

After watching your videos I'm finally learning how to do this and pass my class. Thanks so much!

[daxdasche]

May I just say sir that you are marvellous at this. Your explanation style, calm voice, uncluttered wording, steady pace to let it sink in, all works so well for me, and it seems from below, others too. Well done.

[statisticsfun]

You are very welcome (remember this channel is call Statisticsfun). Make sure you like MyBookSucks on Facebook (see video description for link). This will help others find the educational videos.

[hendrikl]

this guy explains in 3 minutes what a teacher can't in 1.5 hours. Thank you!

[ALV]

Awesome explanation. My instructor was impossible to follow but you made this very clear and showed how simple it really is. I learned more in the first 3 minutes of this video than I did in the whole hour of my class.

[robbiedeegan]

Thank you for making this. 8+ years later and still helping others (like myself) understand stats

[joeschmoe]

Of about four videos I tried to watch on this subject yours was by far the most well done and easy to understand - thank you!

[saadq]

Wow, the simplest and most straightforward way to explain Regression. This is better than everything I've read and seen.

[statisticsfun]

Thanks for pointing that out. I added a link in the video description to the playlist. Hopefully the playlist can give you more insight into the nature of the formula's especially the first video.

I appreciate your feedback too because the pace and detail of the videos is always a struggle for me. Good luck on your classes too.

[statisticsfun]

That is what I am talking about! "Party More Study Less!!!!"

[alghamdiosamah]

Thank my professor Dr. David, you make the statistic more fun for me.
I never forget your amazing teaching at Avila University