Statistical Learning: 3.1 Simple linear regression

[@manoloeso2633]

The example at 8:43 is clearly not linear, it appears to follow a logarithmic pattern, and the data exhibits heteroscedasticity.

[@manoloeso2633]

P.D. Thank you for the videos

[@vddeepakk9382]

I could not understand the part near 8:25 sir. What did you mean the more spread the x's have, the more pinned down the slope could be?

[@MuhammedMasai]

How do you draw the true regression function line which is a red line in the graph?

[@quanchiowns121]

you don't, in reality, the true regression function is unknown, so you have to make estimates. The only way to know the true regression function is if you simulated it.

[@MuhammedMasai]

how to find the model coefficients beta 0 and beta 1 and error?

[@mattetor6726]

It is given at page 62 in the book.

[@aoliveira_]

How to compute sigma square, the variance of residuals, from the data?

[@mrb6309]

Go to the book. It's on there.

[@SaroshAhad]

Can I get the PPT version of the slides?

[@jyotiradityapradhan6490]

You can download rhe whole book for free in the ISL website

[@zarinskie]

hat is for the estimated values, sigma squared is the noise, the variance of the errors around the line completed 08.08.2024

[@LouisDuran]

How are we uploading videos in 360p quality in 2023?