Courses on Khan Academy are always 100% free. Start practicing-and saving your progress-now: www.khanacadem... Introduction to residuals and least squares regression
You can also find this video on his website. Then you can make some questions too so you learn and understand it even better and it provides you videos in the right order! www.khanacademy.org/math/statistics-probability/describing-relationships-quantitative-data/regression-library/v/introduction-to-residuals-and-least-squares-regression
First, THANKS. Second, please resolve 2 issues: 1. Why is the line named Regression Line. From simple English language, I understand the Regression is the opposite of Progression. There should be some thought behind statisticians choosing this word to-draw-a-line-to represent-data. What's that reason? 2. For certain reason, I'm supposed to learn the Partial Least Squares Regression. Importantly, I don't have a background in Statistics. I'm finding it difficult to chart a conceptual-rung-of-ladder to achieve that goal. Can you please guide me to a series of URLs to learn PLS starting from basics through appreciating the concept nicely? This is my need and I'd be grateful if you address it. Thanks and best regards.
Hi Sal! What program are you using to make those straight line "masks" (where you orient the line "mask" 1st and then draw over it) I'm not seeing this feature in Smoothdraw...I see drawing straight lines but nothing that lets you lay down the line "mask" and then draw so it only fills in inside the "mask" (e.g. 1:46 of this video)
You are probably doing a basic level of this in algebra however, when you get to a proper STATS class this completely changes. STATS is more of a conceptual math rather than you normal algebraic math classes. That is what makes it challenging, the math itself is not too challenging.
I second this. I'm currently taking Stats right now and what makes it so challenging is its a very conceptual form of math. It's not like 1+1=2 at all, it's like learning an alien language. It's very challenging but Khan Academy is the best help you can find on the matter.
If the aim of the least squares is to elevate the residuals to allow them to have a larger impact in the model, why don't we elevate them by 3, 10, 1000...? That would represent an even higher impact in the model
why we are squaring the residuals ?? i case of negative values if we upply mod then it will become positive then what the case with the squares of the residuals
i still don’t get it :/ you lost me at weight =m(height)+b what does that mean!! please am i like severely mentally i’ll and can’t understand rules or was it not directly explained why we suddenly wrote that like the cause not even why but the why for the why
