Відео

Cee Jay

Im confused... for a single sided shouldnt it be @=1-p And for a double sided @=(1-p)/2 Single @=1-.95=0.05 Double=(1-.9)/2=.05(on both sides because diving by 2 accounts both sides... Please correct me if I am wrong I just want to understand this... thanks in advance!

Very nice. You cleared up the voltage concept for me to be "how active does the circuit allow the carriers to move". In this case, the backplate of the capacitor allows a lot of carriers (electrons) to move as soon as the switch closes and therefore the resistor has high voltage drops.

thank you for this tutorial, i find it verry usefull

Nice video, I have been using the solver frequently lately but was resorting to Matlab to fit a nonlinear function like this. This seems so obvious now I can't believe I didn't think of this! I would also recommend defining variables using the name manager rather than using absolute references. This makes the equations much more readable, especially if referencing a value on another sheet.

Thank you :)

Amazing. You made me, a complete "math never learning" person understand and try with my model. Thanks!

Hi, is there a way to find the R^2 value of a nonlinear model that we have fit using excel?

Great video!

So informative, thank you sir!

Very nice explanation! "voltage across the resistor= Ri....plbt (raspberry sound)..." I couldn't help laughing at that part lol.

Very helpful video, especially the graphs of the voltage/current and power.

Thank you for wonderful video, shall i have the data for practicing

This is a great video! Thank you! I also need to find the error of those values that are estimated with the solver, so the answer comes to +/- the value. Could you help me with that ? Thank you and thumbs up!

Thanks you. It is very very helpful.

"Data are", not "data is".

Legend

You saved my Chemistry lab report. Thank you for such an incredibly helpful and informative video! <3

thank you

Much gratitude for this straight to the point video that basically simplified what textbooks, articles and lectures make complicated. Thanks so much for your effort. You have really helped so many desperate students out there.

Thank u!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Excellent! Helped me a lot to fit a Thermodynamics model!

Awesome video! Thanks.

thank you verrrrrrrry much , i serch for this vedio depuis long time its verry clear simlpe and effective

nice

Oh.. my fucking god... I love you.

Terrific video, very informative. Thank you!

So helpful.

thanks from New Zealand. electrical engineering test tomorrow your as life saver

You are great at teaching! Thank you for the video! I had to post this before I even finished watching the video.

Thank you so much for the video! I don't know how I would've finished my school project with your help!

Thanks. You saved me like a whole day of work.

That. Was. Awesome.

many thanks ..

this was a spectacular explanation..!! I was trying to understand the need of buffer since many days..and I had almost searched all the videos regarding its explanation..but this one was the most satisfactory...!! THANK YOU..:)

Thanks, excel...lent!

Thank you so much! :)

Very useful...Many thanks!

Great video. Have you seen www.mycurvefit.com - a free online service that can really help here.

Thanks! Great help!

Thank you very much ;-)!!

OMG thank you so much for posting this

Thank you

Thank you SO much. This video is awesome, you helped me a lot!

please provide Excel file to practice the same

Thanks! My Arrhenius model fits perfectly now, because of your video.

This was well explained, but I need to do something a little more complicated. I'm trying to do a multiple nonlinear regression - that is, with at least two parameters needing to be estimated. Using Solver for this is not hard - just change the objective to encompass the two variables. But, I'm wondering how to calculate error bars on each parameter individually. I know how to get a 95% confidence interval on a nonlinear regression, but it only makes sense when there is one parameter.

Exceptional video - exactly what I was looking got!

Applaud

Hello, I am watching your video on UA-cam and I founded very interesting and useful. I am writing to ask your help. I need to make the below regression but I don’t know how. If is possible, please let me understand if something is different in this equation since inside has minus: Abnormal return(t+1)=β(earnings(t+1)-α0-α1(earnings(t))+ε(τ+1) Also I have a problem to understand what value has α0, because is coming from another regression which is : earnings(t+1)=α0+α1(earnings(t)+ε(τ+1) so for α0 I don’t have a column wich to select in exel for regression. kindly regards, Loredana.