Classical Linear Regression Model Part - 2

[@amitjoshi6097]

All the topics are covered comprehensively and explained in a very lucid manner, simply great sir.

[@idrisali8199]

Topics are explained incredibly understandable way. You are genuinely a great teacher, capable to explain as simple as possible. Thank you sir for your scholastic teaching and hard work.

[@JadeTLian]

What an awesome lecture ! Really enjoyed it ! I wish econometrics was taught to me this way.

[@subhampaul9255]

TPP =GOD Nice example sir you so good

[@tanishkaluthra4711]

Best example

[@Rohit-kf1yt]

Very very nice lecture. Explantations with philosophy are absolutely remarkable. Thank you sir 😊😊

[@ankushmahajan7189]

I really loved the sessions simply explained. Amazingly explained.. Thank you so much sir🙏🏻

[@subhampaul9255]

দারুন পড়ালেন সবুজ sir

[@chaudharikavan8423]

Very good explanation 👍

[@ardubey]

Wonderful professor !! UGC Must assign them assignments to serve for one year at least in Private Universities .This will only be way for implementing NEP and attaining its objectives

[@kiranshelke5705]

I really really thank full sir, for suchh a nice explanation. You jst rock it. You clear even single concept of it.

[@anandpratapsingh4538]

Amazingly explained.. Thank you so much sir🙏🏻

[@angelo-ub8lf]

14:02 log taking procedure is wrong conceptwise.

[@free.6791]

I really loved the sessions simply explained. Thank you

[@chandanrastogi452]

Why are we assuming that the model is linear in parameters as after calculating we will get numerical values?

[@mlkgpta2869]

Sir when you have taken log of bx^2 how it is 2blogx rather it should be logb + 2logx ??

[@sunilpatra1293]

Nhi bhai.. pehle log(bx^2)=logb+logx^2=logb+2logx as (logab=loga+logb and here a=x² and b=b

[@mlkgpta2869]

@@sunilpatra1293 2blogx kese aaya fir

[@adiver_]

It was a mistake and I think instead of taking X-square as independent variable, you can take log(X-square), which will become 2*log(X), but at the end the model is still linear in parameters.

[@bravewellmawthoh6347]

Thank you Sir

[@vaibhavpandey7398]

Why haven't u put log before beta. As u have put log before alfa.??

[@ashwinitricks2558]

Intro like ramayan 😀

[@lilpop2113]

log does not work that way. log(a+b) != log(a)+log(b)

[@adiver_]

I don't know exactly but it has got something to do with the method used to estimate the models, it has closed form solution and a neat matrix equation with which you can find beta values while minimizing the square of errors always but not when it is something like X^(beta)

[@Economics365]

Thank you so much Sir

[@shradhaagarwalla2220]

Thank you sir 🙏

[@digitalcommuneeconomicsphi6149]

And if you behave consistently and watch all video lectures, Sir(GOD) going to liberate you

[@sunilpatra1293]

He is above that.. one above all..