How To Perform Simple Linear Regression In Excel

[@StevenBradburn]

ONLINE GUIDE toptipbio.com/linear-regression-excel/

[@mohitsingha1809]

Thanks so much.

[@divy03]

I loved the fact that, the content is so simplified and easy to digest

[@StevenBradburn]

Thanks mate appreciate the feedback

[@albertoclemente6071]

Finally a video that show in deeper detail all the coefficients and charts generated by Excel in a Regression analysis. Thank you very much for that.

[@marialavinia3365]

thank you so much! you did a better job at explaining than a lot of my teachers!!

[@benedictnuvye5277]

Very rare to find a video that is detailed and easy to understand like this one... superb indeed.

[@StevenBradburn]

Thanks for the feedback Benedict 👍

[@Ryan-nh3mt]

better job explaining this than a lot of other videos out there. good job

[@nasrollahrajaei4477]

Your teaching method, language, and presentation are just fantastic!

[@StevenBradburn]

Thanks very much for the kind feedback

[@pippinbloom]

Thank you so much for going through this in such detail. This was extremely helpful for me. I appreciate you!

[@リタンフランシスアグリーメントフェリック]

This guy has help me a lot after struggling on how to do this analysis on data.

[@mohitsingha1809]

Great explanation, this is the first really useful one for a novice to learn about how to interpret a simple linear regression model.

[@gavinelias6272]

Solved my 10 day confusion in just 9 minutes

[@EnrqSan]

Best tutorial ever developed

[@David-lp1br]

Thank you for this detailed tutorial! The explanatory part was really helpful to determine which value was important in my research!

[@hamayonkhaleqyar7286]

The best video for Regression ,1000000 likes

[@julescaruso4398]

Superb! This is excellent. Very much appreciate your in-depth coverage of each of the elements in the output

[@shubhamsirsikar1461]

Thank you for sharing such a detailed and high quality video.

[@StereoMike06]

Thank you for this detail which is easy to digest. So many videos do not discuss the steps after the regression and how to apply back to your hypothesis and data plots.

[@subhadas9608]

Thank you very much sir for making this type of videos.... you don't know how much your videos helped others.... Your way of explanation is totally different from others and very easy to understand. Previously I had a lot of fear in statistics.. after watching your video I'm just loving stat...

[@jessicaescobar7549]

Thank you! one of the best tutorials videos i have seen. Very clear and practical.

[@RyanHolstad]

Extremely helpful, great example and well explained. It helped immensely with my Statics class. Thank you!

[@MrKalerender]

Clean video on using that technique. Perfect for my students to refer to.

[@epdelavega]

Excellent! Best linear regression video I have seen. Thank you!

[@StevenBradburn]

Thanks mate. Appreciate it 👍

[@anusingh164]

Thanks a lot. This video was very helpful if one wants to get a quick understanding on regression model .

[@ngobamartyns-yellowe5555]

Thank you for sharing. Coming from a non statistical background, you really helped my understanding by the way you simplified the statistical analysis.

[@adamrosen7937]

What a great presentation!

[@titantitus3133]

This is so helpful. Thank you so much! I am working on a research project and was having trouble getting started with regressions on excel

[@StevenBradburn]

You're so welcome! Good luck!

[@Chic.Geek75]

Thank you for the most comprehensible piece, I am forever thankful!!!!

[@priyanshijoshi1394]

You are doing a great job. Keep it up 👍👍👍

[@nkwanwighogomudonald5415]

Fantastic in teaching and explaining. GOOOOOOOOD JOB

[@bobmilani6109]

I'm a rock star thanks to you!

[@loranscott3174]

This was a really great tutorial and very helpful.

[@martinnhantran]

Thank you so much for the video. Simple and easy to understand.

[@ThePokenger]

This was a lifesaver

[@kasmindanil5527]

this one is quite clear i found so far, thanks a lot sir.

[@evaschoenfeld3186]

WOW that video is super helpful, thank you so much for posting it.

[@jainabatrawally7123]

This is superb 🎉. Keep up the momentum.

[@iamff]

Brilliant, just brilliant.

[@jedrixmotovlog]

Man your explanation is very clear. Thank you 👌👌

[@StevenBradburn]

Cheers mate

[@maintainyoursanitywhenbein6660]

Thansk - very helpful ... I am going to watch many more of your videos ...

[@somachisunday2967]

Thanks very simple to understand ❤

[@__Mako]

High quality explanation

[@vasiliostantanis4627]

Excellent job! Congratulations!

[@saraparedes1666]

Thanks for this video! Helped me with a lab :)

[@SystemsProjectEngineer]

Excellent video.

[@prasadbishetti9879]

Thanks a lot for such clear explaination

[@NavaneethaKrishnanA]

Clear and Concise

[@potatotrash8320]

Thanks for this. This is a super big help.

[@StevenBradburn]

Very welcome

[@SaiVivekanandKuchimanchi]

SIMPLY WOW !!! . Can you suggest good tutorials for other ML models also pls like Supervised models (Classification models like Naive Bayes classifier, Decision Trees, Support Vector Machines, Random Forest, K Nearest Neighbours, Logistic Regression) (Regression models like Neural Network Regression, Support Vector Regression, Decision Tree Regression, Lasso and Ridge Regression) Unsupervised models (Clustering models like k-means clustering, mean shift clustering, DBSCAN clustering, Agglomerative Hierarchical clustering, Gaussian Mixture) Please brov. Thanks in anticipation.

[@mohitkaushik21]

Thanks a lot 😊

[@benben7791]

Excellent video, thanks!!!

[@danielkwawuvi_tutorials]

detailed explanatory tutorial. thank you very much, Sir

[@CLEFFJOE]

I just subscribed. Excellent video. Absolutely perfect analysis

[@StevenBradburn]

Cheers Jon Jon

[@mabvutobanda7699]

Perfect explanation

[@davidkariuki3967]

Very helpful tutorial...step by step

[@ramamohangadiyaram9004]

Excellent presentation Sir!!

[@StevenBradburn]

Thank you kindly!

[@frosty20]

Thanks for the explanation i was struggling and i had to do a linear graph project with two varables of the topic NBA teams

[@StevenBradburn]

@@frosty20 very welcome!

[@williamodela]

This is helpful. Thank you, sir

[@michaelliu6323]

Thank you Steven for this great tutorial video! It is so helpful. Meanwhile, would you pls. explain why only the C.i. of the slope is considered to calculate the C.I. of the estimated y value in most textbooks? There are two parameters (slope and intercept) in the regression equation, and both parameters have C.I. calculated, shouldn't we put both C.I. into the calculation to estimate the CI of the y? thanks!

[@gmanova]

superb little tutorial thanks.

[@clementn240]

thanks! great explanation!

[@mariamatunrase9312]

Very insightful ... thanks

[@HaciendoLQMDLG]

Very helpful video thank you so much!

[@junisaresilvosa9430]

this is very helpful thank you

[@Eric-yu1ur]

I really enjoy your video can you show us how to do a logistic regression please

[@kimwaters3140]

thank you, a thousand times, thank you, Dr. B, from a non-traditional (i.e., OLD) doctoral candidate dissertating in acoustic and socio-linguistics. Is that a Mancunian accent I hear, Oldham, perhaps? Peace, kw

[@hichamitani6433]

amazing explanation prof

[@deividasbalt]

You are a god. Thank you!

[@aslhanaslhan1092]

Hello I did linear regression, but my teacher did not accept it because the number of steps in the formula was low. How can I increase it?

[@SunilPatil-tq5cb]

Hat's off to u sir for this great video

[@DVGgames-od3tb]

Thank you so much!

[@shankar167]

Top class video. Super like.

[@becomingdr.e952]

Very helpful! Thank you.

[@PrajwalKhanal-ox1is]

Thank you so much for such a wonderful video. May I have the excel file, so one can practice along with the tutorial.

[@marcstla]

thank you very much! Very clear!

[@H.j.f.g.h.j]

thanks a lot? may God bless you.

[@vascopatricio2]

Very clear, detailed and useful, super class. Thank you so much :-). Ps: (not randomly) subscribed.

[@StevenBradburn]

Thanks Vasco!

[@JD88784]

Great video

[@manuelgonzales2570]

EXCELLENT. Thanks!

[@ch4rs]

how goated this is my man

[@manishjargamagar9288]

Most useful. Thanks a lot

[@MichaelMooreboston]

Hello Steve, at 6:53 area, I thought you would say you'd 'reject the null hypothesis', and not 'fail to reject the null hypothesis'. Possibly just a mix-up of words, but given that your p-value is less than alpha you would reject and not fail to reject.

[@gilbertsibwoga3619]

Probably a mix up of words

[@noorakp9704]

This is easy to understand 😀

[@joselozano3105]

How come when I highlight the numbers with the labels it gives me, "contains non-numerical data?

[@notmyrealname2.0]

Thank you!

[@nishanthpillai6246]

If the significance F value would had been greater than 0.05..would the regression equation hence formulated be valid??

[@israelowolabi7523]

Can you please do a tutorial on multiple regression

[@NebiyouMaseboMalore]

Too interesting !!!!!!!!!!!!!!!!!!!

[@thez00t6]

Much appreciated

[@chukwuochachineduzim2497]

Please in l will need more tutorials on basic econometrics calculations and these type of vids....if not am failing this course please

[@khudahafiz478]

Thank you so much

[@NishanthPillaiOSCM-]

If my test is insignificant (Fstat

[@antievtorduetrenchesvolley6658]

Very Clear

[@israelowolabi7523]

Can you please do a tutorial on multiple regression?

[@amacox3126]

how can i get probability percentage from this linear regression?

[@ginalam9543]

Hi, Can you run a regression when the y variable is a range and not a single number. For example range of income is the x variable and the years worked is the y variable

[@StevenBradburn]

Hi Gina Sounds like you need a logistics regression. With a logistics regression you can predict a categorical variable. However, I'm not sure how you do this in excel unfortunately

[@analynbautista2725]

Thank you

[@uppijr7373]

How to interpret the accuracy of the linear Regression Model?

[@leahiennguyen8440]

very helpful, thank you!

[@AKMKGP]

THANK YOU!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

[@farhanchowdhury1846]

Thanks man