## 745 Credit Score – Review

In this video we learn how to calculate the odds ratio for any two values of the independent variable. We also graph the odds ratio change to fundamentally understand what is going on under the hood of Logistic Regression.

For my complete video library organized by playlist, please go to my video page here:

https://wp.me/P1TVs6-1R

If you would like to support my channel you can do so here: https://www.gofundme.com/brandon-foltz Happy learning!

#statistics #regression #machinelearning

## Thanks for watching the 745 Credit Score video!

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## Yibe Yibe

August 1, 2021 at 2:51 amwhat a tutorial you got! man #1 videos i have ever seen!!!!

## Marco Ventura

August 1, 2021 at 2:51 amFantastic video on basic Linear Regression, it makes clear to everyone with a college level math. Concise and precise. I would humbly suggest some more details on maximum likelihood and, in general, on the math behind the scene.

## Kar Ann Chew

August 1, 2021 at 2:51 amFrom last video:

Odd Ratio produced by tool = 1.0147.

15:30

FICO Change = 50

Odd Ratio Change = 1.0146^50=2.078

Odd Ratio vs X curve:

y = e^(0.0146 * x)

Odd Ratio increase (or decrease) vs X delta

y incr = e^(0.0146 * x-delta)

## Harsh Parekh

August 1, 2021 at 2:51 amThanks Brandon, I always come back to your videos for understanding the statistics concepts. You do have a knack of explaining in a way which makes it very easy and simple. Good luck !!

## Sharmila Sengupta Chowdhry

August 1, 2021 at 2:51 amExcellent explanation, Brandon

## Jet Stalknecht

August 1, 2021 at 2:51 amI liked how in the multiple linear regression it was made very clear if you can continue the use of the statistical test by looking at the p-value and r2. Now with logistic regression if my p-value is higher then 0,001 should i not continue?

## Adam D.

August 1, 2021 at 2:51 amThank you, Brandon! I have watched all the Logistic Regression Series, and I feel that I am obliged to say thanks for all the effort you put into this series to make it elaborated like this!

You have done a great job to make anyone understands things from the bottom to the top!

This is what I call it "Job well done!".

## Siddharth Dhote

August 1, 2021 at 2:51 amPlease do a series on Multinomial Logistic Regression. Where one of the independent variables is categorical

## Marcelo Ferreira

August 1, 2021 at 2:51 amHello! I wonder if anybody could be kind enough to please help me identify the datasets? Thanks in advance. I have looked for it in Brandon's blog, but I could not identify it, if its already there.

Also, thank you very much Brandon for your classes. I am starting with statistics and really appreciate them. They are really helping me.

## doddpower

August 1, 2021 at 2:51 amI have followed every video up to this series very well. They've all been clear and not too fast. However, this series completely lost me. Way too much dense information way too fast without enough context as to what's actually occurring beyond something to do with change in credit scores. Hope I don't need any of this info any time soon!

## suneel

August 1, 2021 at 2:51 amFar more better than udemy courseðŸ”¥ ðŸ™‚

## martau3

August 1, 2021 at 2:51 amThank you for these very helpful videos :-). Can/should the Wald test be used to test for significance when performing binary logistic regression with data which I am treating as a population? I have been advised that inferential statistical tests are not appropriate with populations, so I'm confused whether to pay attention to the Wald test – particularly as it does not appear to have a straightforward relationship with the size of the coefficients/log odds. Thank you in advance for any answers!

## Nawaf Alrasheed

August 1, 2021 at 2:51 amBrandon, YOU ARE THE BEST!

## Ems Dy

August 1, 2021 at 2:51 amIf you had been my professor when I was a university student, I would have loved statistics. Ever since I hated Statistics so much.

But then when I watched your videos, I felt like oh 'why these videos never exist before.'

By the way, I am here because I am studying machine learning.

Thanks a lot. ðŸ˜ŠðŸ˜ŠðŸ˜Š

## zoran till

August 1, 2021 at 2:51 amI been looking for a clear explanation forever. FINALLY

## Simon H.

August 1, 2021 at 2:51 amBam! 18:52

I finally understand why I've been taught that exp(B1) = OR(B1)! Thanks!

## Akshit Miglani

August 1, 2021 at 2:51 amHi Brandon, great videos. Can you please explain what a coefficient is? I can understand that we would choose variables that are strong based on a high chi-square and put their coefficients in our equation. But what are they and how are they being calculated? Thanks.

## Christopher Okhravi

August 1, 2021 at 2:51 amThank you!

## Olga M

August 1, 2021 at 2:51 amwhat does e stand for in y=e? how did you get 1.32 increase if 0.014634*19=0.2780?

## Deekshith basvoju

August 1, 2021 at 2:51 amThe way you explain is good. But, what information are we getting from odds and odds ratio

## Lusine V.

August 1, 2021 at 2:51 amThanks a lot !!! These videos are very helpful. And the way you represent is really great.

## Ferry T

August 1, 2021 at 2:51 amWhat a great video. However, can anyone explain how he got the exponential regression line in the video: 16.21. Why he didn't add "-9.346" (constant/beta zero) in the equation?

## Mass0

August 1, 2021 at 2:51 amvery good videos, been watching multiple linear regression and logistic regression playlists for my MVA partial and it helped me a lot.

By Max, Italian statistic student

## Silvia Arciniegas-Mosquera

August 1, 2021 at 2:51 amIs there a video that explains 'e'? the exponential? Trying to do the math at 18:48 I couldn't figure out what 'e' meant or what was the value base. I had to do a lot of google search to find the base number. Is there a video that explains the concept?

## Webarton

August 1, 2021 at 2:51 amExtremely good material.

## Yisroel Lazerson

August 1, 2021 at 2:51 amYou are an amazing teacher!

## Landry Ako

August 1, 2021 at 2:51 amYOU THE BEST…..

## Shubham Rawat

August 1, 2021 at 2:51 amreally, you made my every concepts clear..ðŸ˜„ðŸ˜„.. thank you so much….

actually i am an engineering students and currently studying machine learning and had no clue about statistics .. but your tutorials helped me a lot..

once again thank you so much..

## Dhanapal A

August 1, 2021 at 2:51 amDear Brandon Foltz, I am a great fan of your statistical tutorial and it helped me to understand the basics very well. I would request you post a video on details over the various fields of the logistic regression and their meaning. Thanks for your great effort for making such great tutorials. Thanks Again!

## Yeung Lorentz

August 1, 2021 at 2:51 amman this is the best tutorial i ever watched for this topic! my appreciation. I subscribed and gave u thumb-up.

## K S

August 1, 2021 at 2:51 amAre you sure that natural log of 3 is 1.098? I am getting 1.58 and this is log base 2. Please clarify. Thank you.

## N R C

August 1, 2021 at 2:51 amIs Odds ratio the same as likelihood ratio?

## 4835SM

August 1, 2021 at 2:51 amExcellent! Thank you so much for taking the time to provide free instruction. This is a lot of work! LOL WOW!

## Hemant Sain

August 1, 2021 at 2:51 amhow LOGISTIC regression works internally when predictors are categorical or binary instead continues numeric.

Thanks

## Delahunta

August 1, 2021 at 2:51 amI liked your videos. I am trying to find out what the intercept term in logistic regression means. All I found on the internet is that it the log odds when all variables are 0. Do you have a different explanation? Also to calculate the odds ratio when there are multiple variables do you substitute random values for the other variables not of interest when computing the probability and odds for the variable of interest, or do you leave out the other variables and essentially do a calculation like you did in this video with only one predictor variable?

## Prathamesh Pathak

August 1, 2021 at 2:51 amExcellent video! Well thought out content… even a lay man can interpret logistic regression output after watching this video.

## Pankaj Kalania

August 1, 2021 at 2:51 amdoes odd ratio and odds imply same thing? i.e. likelihood of happening something.

## AK

August 1, 2021 at 2:51 amyou are better than my tutor, thank you man!!