Learn Regression Analysis in Excel in Just 12 Minutes

[@KenjiExplains]

🔥 Get 20% OFF our new Python course with code PY20 at checkout: www.careerprinciples.com/courses/python-for-data-analysis

[@SyraLiaquat-e9b]

Thanks a lot . You explain a bulk of concepts in just 12 minutes. I am waiting for the Part 2. Vote for Part 2.

[@Mohaaabdalle]

Absolutely, we have enough fundamentals to understand the regression using excel. I recommend to upload part two and I can't wait it.

[@ChiragSharma-t4w]

+1 We want to learn more about regression model. It would be great, you make a more deepen part of regression.

[@georgiosskapariotis955]

100% we need a part 2! Can't wait!

[@SoundOfUniqueLyrics]

You are so good Kenji,.. I am really grateful

[@subhrajitchakraborty8170]

Yes please make a part 2, and thank you very much for this video, it was very interesting to watch ❤

[@ivank1469]

Absolutely would be great if you add Part 2! Thanks a lot for your work 🙏

[@andreamiracle8402]

Great tutorial! I would love to see a part 2. Thank you!

[@futureforecast1388]

I am literally using regression analysis in my investment class in MBA program. Thank you!

[@Nicestudynetwork]

I have no idea how could explain several complicated concepts in 12 mins, I'm not sure if it's because how smart you are or how deeply you can understand the concepts. I have been studying this for a whole semester and can't remember/understand a thing. Looking forward to other advanced regression tutorial!

[@LatifurRehamanShaikh]

yess...would definitely want you to make the 2nd part

[@Zhenurik]

Thanks! Very good explanation! Looking forward for the next part!

[@onlyonecjb001]

Thank you very much for the helpful and clear explanation. Part 2 would be a great addition.

[@Proton1111-si6hl]

Thanks Kenji, I would love a part 2!!!

[@tmun8946]

Great job of making this concept easy to understand! I'd like to see you do the Part II of this you mentioned as well. Thank Yo!!

[@KenjiExplains]

Noted thank you :)

[@pluto_dp]

We'd really love to see the Part 2! Thanks Kenji

[@jalucaso]

Thanks for all your help Kenji! 💪

[@issahabdulhafiz912]

We will be glad to have all that in one video

[@antoniop.3586]

Amazing!! I just discovered data analysis in excel with your video. Thank you very much!!!

[@kalyankumar8629]

can't wait for part 2
thank

[@camlex6310]

Very helpful tutorial!!! Thanks Kenji :))

[@KenjiExplains]

Glad it was helpful!

[@yashrsingh]

Great Video. Looking forward to Part 2

[@msfalfayez940]

I want to know more about it, like seasonality and outliers
I like that your explanation is engaging and to the point
BRAVO 👍👍

[@issahabdulhafiz912]

Great very simple representation and easy to follow.
Thank you

[@KenjiExplains]

You are welcome!

[@barttitulaerexcelbart9400]

Hello Kenji, thanks. my suggestion is to use TREND, INTECEPT and SLOPE. Also use the table with slicers so you can slice and directly see the result. Also use the r squared in the graph. YOu can also use LINEST to generate the data for multiple regression. good luck with part II

[@deniztaran]

You are great man. Really. Well explained. and I subscribed.

[@realpatata]

Waiting for Part 2 Kenji!!

[@Jazzwr]

Thank you!🎉

[@christerwiberg1]

Would love to get a part 2 with seasonality as you said and also to remove outliers. We are testing how to predict the flow of water in a water treatment plant, based on rainfall and combined with oudoors temp (it minus deg C then water is in ice/snow) and maybe to predict the flow when in spring, it melts. Would love an example of that or similar that can be applicable.

[@asmaaljneibi881]

Hi Kenji, thank you so much for all the beneficial content. Definitely subscribed to the Python course.
I have a question here-is there a way that can help me interpret the numbers that show in the table? Interpretation is the hardest part for me.

[@mint9121]

Awesome. Thanks.

[@mohlomimanyane7695]

In just 12:33 minutes I now know and under simple and multiple regression analysis. I also vote for part 2, 3, 4, ......... n. 😁😁😁

[@5ire5torm]

thanks for taking the time to explain =)
Do you reckon we should do the excel course first before we do the python one?
Is there a discount if we take both?
How are the classes like ya? Are they in ther form of video tutorials for self-learning?

[@rafayhussain4171]

Awesome But I am Still waiting for Python & I am very excited for it

[@willzinner8813]

finally thankyou

[@KenjiExplains]

thanks for watching :)

[@jsimmons834]

THIs is good stuff. THX

[@blessedowo1958]

Thanks my bro

[@RamiAld-ob6il]

We want part 2 for sure

[@j.b.1342]

good stuff!

[@nosiphoB6468]

Please do a part 2

[@arkaghosh8344]

Kenji please start a separate playlist of videos of data analysis with python on youtube

[@walleedraza6176]

Part 2 please.

[@SyraLiaquat-e9b]

Awesome.

[@ajithbabu8086]

Please upload part 2 also

[@jnavafb]

Can I implement this to generate a forecast based on time series? I saw the forecast video, but if I can implement this along with time series, the results could be way more accurate.

[@sanketdahat6993]

Please add part 2

[@khanyanqundwana7526]

Are you familiar with lean six sigma, DMAIC ? Can you please do video of Analyze phase using excel

[@siamakbahrami7447]

can I employ Regression Analysis (multiple regression) for sensitivity analysis?

[@aremoteforu]

Little bit lost on the p value how is that not great than 0.05

[@twothumbgaming8195]

Same, it’s greater than 0.05

[@MikePage-k5j]

@@twothumbgaming8195 Because the decimal equivalent of that number (8.73335331340804E-08) is smaller than .05. It is equal to 0.00001%

[@h2492-z3m]

I also got stuck here 5:39 , can someone please explain this? Thank you!

[@mr.viewfinder2472]

want to know more.

[@SukeshChadha]

❤