Exponential Model Regression Transformed Data Example

Learn via an example how you can transform data for regressing to an exponential model. For more videos and resources on this topic, please visit nm.mathforcolle...

[@sumirandahal76]

Wow so concisely explained. ❤

[@architect8675]

Sir, thank you so much. You were straightforward and talked 0% shit 100% a nice example and explanation.

[@2minhacks]

Thank you very much, your video helped me in a college hackathon.

[@numericalmethodsguy]

What was the hackathon about!

[@youtubeNerdy]

THE BEST EXPLANATION

[@file_one]

Thank you so much Sir

[@TheStrings-83639]

How to apply this to a multiple regression model? Like you'd turn the dependent variables into ln variables and do the same process using matrices?

[@numericalmethodsguy]

Got to see if you can transform the model. If you can't then you start from the sum of the square of residuals, minimize wrt the regression constants. Would need a numerical solution though.

[@BalkanManic]

Excellent

[@korganrivera4659]

Would it be basically the same process if I'm fitting data to y(t) = ae^(bt) + c ?

[@numericalmethodsguy]

No. You will have to start from the sum of the squares of the residuals to find a, b and c. I do not see a way to transform data to use linear regression formulas.

[@sosoalsabahi3784]

Awesome thanks a lot

[@priyankachoudhari3579]

AMAZING, THANKS

[@numericalmethodsguy]

Glad you like it!

[@kenjikun1069]

12:34 a0 is not equal to -0.0002615. I m getting the answer as -0.0004666667.
please correct me if I m wrong.

[@architect8675]

It is in fact -2,614982E-04
I'm doing it in Excel (sorry the time I could answer you)

[@vivsilva]

I got the same answer doing it on Desmos −4.66666667×10^−4