Conducting a Multiple Regression using Microsoft Excel Data Analysis Tools
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- เผยแพร่เมื่อ 25 ส.ค. 2024
- This video demonstrates how to conduct and interpret a multiple linear regression (multiple regression) using Microsoft Excel data analysis tools. Multiple regressions return the contribution of multiple predictor variables on one outcome variable. Predicted values for the outcome variable are calculated using the estimated regression equation.
Dear Dr. Todd, the Statistics I learnt at School was about 40 years ago. At that time, I had no clue where it would prove useful in life. Nor did my Teachers have any clue either - they were merely tasked with holding Statistics Classes, grading us, and moving on to the next batch of Students!
I went through most of my working life without bothering about Multiple Factor Regression,until it suddenly took on possibilities of becoming significant! And now, I had no way to turn back to School!
Although I have used Excel constantly throughout my career - even the Data Analysis Pack, it does not come back too easily... Your Video makes it so easy, not just to do a Multiple Factor Regression Analysis, but to understand the important components of the Table that Excel spews out at you!
All Power to you Sir! Thanks!!
Thanks Dr. Todd for an excellent demonstration.
My mom watches your more recent psychological analyses, I watch the stat explanation videos :D You've got two fans in the family Dr. Grande!
Thank you so much for an intuitive tutorial in this way of data analysis, I really like how you don't skip over small and important things and make an effort to try to be as helpful as possible, I hold a lot of respect for you in that.
YOU ARE MY HERO 😭😭😭My doctor asked for us to make a regression analysis with out explaining what we are supposed to do or how to analyze it even but your video literally saved me
I will update you if i hopefully get the full mark !! fingers crossed !!
Thank you, sir, appreciate your help in explaining how to turn this feature on in excel, as well as explaining how to use the results.
I started off watching your commentary on current events and stuff and now im over here learning statistics from you for my business economics class. Thanks man! I really appreciate your content!
Best intro-video to multiple regression I've ever seen. Well done Dr.!
You did a very good job. I am a retired math teacher(community college). Until this last week I had no idea of how versatile Excel has become. So, I wanted to see if I could learn how to do multiple regression for purposes of studying Major League Baseball. I had absolutely no idea how to go about using Excel. I followed your video. Bingo! Thank you very much. I wish I could have used this when teaching stat. We just did linear regression(1 independent variable) using TI-84's. The students were required to buy those and were not required to have access to Excel. If I was still teaching, that would change!!
I was looking for clarification on how to apply the coefficients in a multiple regression to predict an outcome and you explained it perfectly, thank you.
Hi, I wanted to say thank you for this video! I'm taking a stats class right now and the book wasn't great at explaining how to run a regression analysis. This was extremely helpful! Much appreciated!!
mr. todd grande tyvm for helping me out in my times of need! my teacher did not teach me this yet they dared to put it in my weekly homework to try and get me. but they will not thanks to you mr. todd grande. i hold u in high esteem and extraordinary regard
This is an excellent, easy-to-follow video. It was such a help to me!
very comprehensive. Thank you dr Grande
Now that is what I call a clear and well presented video, many thanks.
Thank you so much, Dr. Todd, for such a lucid demonstration.
This was excellent! Thank you!
Excellent explanations....very well laid out. Thanks
Thank you so much for explaining what R^2 is, it just clicked for me :D
I found it extremely useful! Great explanation Dr. Todd!! Thank you so much!!!
Thank you so much for this video. Just what I needed. Very easy to understand multiple regression!
Thanks for the great explanation Dr. Todd!
Thank you Sir. for a clear explanation and great useful work!
outstanding demonstration, I was searching for such stuff for long
Thanks! Your explanation is sooooo clean!
brilliant tutorial. looking forward to using this at work
An actual life saver, thank you!
This is awesome. Thank you.
Thank you so much for your explanation!
thank you Dr. Todd
Very well explained. It was extremely helpful for me. Thanks a lot!
Thank you very much for this explanation.
Thank you very much for this walkthrough, most appreciated.
You're welcome!
Thank you so much for this. You explained everything so well!
Thanks, this was helpful
AWESOME! Thank you
Thanks Dr. Todd
Thank you!
Super helpful, this is what I was looking for, thanks a lot :)
Excellent explanation. Thank you.
You're welcome - thanks for watching -
Very useful, thank you so much!
God bless you
Got it! Thank you!
nicely explained
Thanks for your video, it is very helpful
Thank you for excellent explanations.
One question.
When they talk about univariate analysis and multivariate analysis, is multivariate analysis the same as multiple regression here?
Thankyou Dr. Grande! your solution was very thorough and you made it effortless for us to learn it.
One question: does there exist any professional regression tool to predict outcomes with more accuracy? what if the outcome variable is time dependent and result is delayed but not know which factors affect the ? how do we account for that?
Thanks a ton Sir!!!
this is very useful! thanks! can you also make a video how to interpret different terms and coefficients please?
yes, really good work ! Thanks a lot
Thanks Todd!
thank you
Amazing, thanks.
But how could you say Significance F is less than 0.05 where it is shown 7.50677 on the anova table in the video?
Dr Grande, thanks for this video. I have another question: what if we have still 2 inputs but 2 outputs related to 2 inputs? how can we solve such a problem? Also would the results for 2 inputs 1 output model, Standard Error: 101,4823922
, and Significance F
: 0,038824662 be acceptable as a good regression or not? thank you.
Thanks
This is great. Can you use this for 3+ independent variables?
Dr. Grande, thank you. I need to perform a data analysis to predict costs, similar to this model with multiple known Xs (Up to possibly 10) and multiple known Ys. I have conducted models using the LINEST function and the Data Regression Analysis shown here. My problem is some of the Coefficients are coming up negative, which for this purpose is impossible, since all the X variables add to cost. I'm trying to figure out a work-around solution or a new regression model and I am hitting the limits of my brain power...can you or anyone here help me? Thank you.
Is there a reason you didn't use parenthesis when plugging values into your formula?
I'm wondering how could I use a predictor variable of low light and high light, with outputs being concentrations
Thank you a lot, it is very helpful!~
If it is possible I am a biology student and competiting to biostatistics course. Today after 3 hours is the deadline. I have to do Excel task for linear regression. 2 Excel files were submitted. What I have to do is to find outcome variable. To find it, I may not find residual. If it is possible, please help me, just give me a hint PLEASE. GOD BLESS YOU. thank you a lot in advance!~~~
I do not have residual and Y value too. If I had it, I might just minus it
What's the difference between a Generalized Linear Model and a Multiple Regression?
Thanks!! I'm here for solving ISE homework. lol
thanks
how to know the multiple equation for the regression?
ctrl+shift+down on the arrow keys selects all data after a cell you want if anyone wants to know that shortcut
I use ctrl, shift and arrow keys a lot when navigating sheets, just wanted to add that there is all sorts of combos with the modifiers
dear sir.. pl. also tell how to generate an eq. Y=m1x1+m2x2+m3x3... mnxn using the obtained result.
Can anyone help me with multiple regression. I followed your steps but it shows an error and I can't get the results
Iam getting #NUM in significance and p value...what should i do??
check your input, you gave it a reference it doesnt like