ECO375F - 2.1 - Simple Linear Regression Model Assumptions

If you have any question, post it in the comments and indicate at which time in the video you need clarifications.
E.g.: "at 3:35 which rule is used to simplify the equation"

[@lessthanzero.]

Really clear explanation. Thanks man!

[@JestoneChibuye]

Thank you

[@prashant0104]

Very helpful videos! Thanks!

[@pritesh.tiwari]

nice explanation sir..it helped me alot.. thankyou so much.

[@EconometricsAndAnalytics]

Glad it helped, good luck with your study !

[@jiabanchen8230]

Hello! I'm quite confused about the last two graphs you drew in this video, so can we say they are heteroscedasticiy in these two cases?

[@RemiDav]

Hi Nerissa,
The graph at 9:52 is heteroskedastic. If you give me x, I can guess the variance of the error (if the y are far or not from the line on average).
Because changing the x position changes the variance, it is heteroskedastic.
The last graph is not (it's a trap). It might look heteroskedastic because it looks narrower at each end, but it is just because we have less data points.
If we had more data points near the extremities we might see that there is as much variance as in the middle.
I hope this helps.