Econometrics # 16 : Assumptions of Classical Linear Regression Model (CLRM) with English [CC]

Поділитися
Вставка
  • Опубліковано 3 лис 2024

КОМЕНТАРІ • 73

  • @soohamBanswal07
    @soohamBanswal07 3 роки тому +7

    Sir respect for you from India 🙏🏼🙏🏼🙏🏼

  • @phulprasadsubedi2370
    @phulprasadsubedi2370 3 роки тому +5

    Thank you Dr. Tehseen. Respect from Nepal.

  • @shahabtariq1868
    @shahabtariq1868 4 роки тому +3

    After watching many videos on youtube this is the best and easy to understand among all.
    kash yeh video aap 4 months pehlay upload kartay to meri achi GPA ban jati

  • @safdariqbal5774
    @safdariqbal5774 4 місяці тому

    اللہ تعالیٰ آپ کو ہمیشہ سلامت رکھے آمین

  • @Anita_Sharmaa
    @Anita_Sharmaa 2 роки тому +1

    well explained amazing, your teaching style is very informative. Thank you from Nepal.

  • @britishlearneracademy2734
    @britishlearneracademy2734 3 роки тому +1

    Mashalllah sir ! These videos are full conceptual. Tomorrow is my interview for mphill and now I have full concept of econometrics. May Allah bless you

  • @drazeem849
    @drazeem849 4 роки тому +2

    I really appreciate your hard work and clarity of concepts. Best of luck Dr . (Dr Azeem-UAE)

    • @TJAcademyofficial
      @TJAcademyofficial  4 роки тому +1

      Thank you very much Dr. shb for your appreciation. Where are you working in UAE?

  • @kanchandatta4668
    @kanchandatta4668 2 роки тому +3

    I also teach basic econometrics . Your videos enriched me a lot. Thanks a lot. Please make more videos on Time series econometrics, efficiency analysis , impact analysis, cost benefit analysis, etc

  • @shinchan1662
    @shinchan1662 2 роки тому +1

    bhut he acha explain kiya hai aapne sir exp(e)=0 ko

  • @SalmanAhmad-cf7lf
    @SalmanAhmad-cf7lf 3 роки тому +1

    بہترین

  • @kanchandatta4668
    @kanchandatta4668 2 роки тому +1

    Very happy to listen your analysis.

  • @mdmahmudulhasanmiddya9632
    @mdmahmudulhasanmiddya9632 2 роки тому +1

    Sir u r genius, What an explanation

  • @taruntiwari3054
    @taruntiwari3054 2 роки тому +1

    Thank you sir
    Love from India ❤️
    Amity University Noida

  • @susatarai9462
    @susatarai9462 2 роки тому +1

    Really hats off sir
    Beautiful concept I learnt here

    • @TJAcademyofficial
      @TJAcademyofficial  2 роки тому

      Thank you may I ask about the quality of the subtitles?

  • @agha3779
    @agha3779 3 роки тому +1

    Mashallah Zabardasht

  • @kanjirowa-yn2xb
    @kanjirowa-yn2xb 2 роки тому +1

    Ek number 😍

  • @hashimmalik1144
    @hashimmalik1144 Рік тому

    The way you teach ❤️❤️❤️❤️❤️👏👏👏👏👏

  • @nisarkhan6072
    @nisarkhan6072 4 роки тому +3

    Plz sir make videos about difference between the simple linear regression and multiple linear regression

  • @anummushtaq8201
    @anummushtaq8201 Рік тому +1

    I love the way u teach

  • @gbengaoluwajuyigbe9097
    @gbengaoluwajuyigbe9097 Рік тому +1

    Good lecture

  • @FahadAli-eu8mq
    @FahadAli-eu8mq 2 роки тому +1

    @TJ Academy COuld you give a situation for the second assumption when the error term is not zero?

  • @rpruby7054
    @rpruby7054 3 роки тому +1

    Well explained sir.

  • @AsifZWarsi
    @AsifZWarsi 4 роки тому +1

    Very good explanation in simple way.

  • @thelightofeconomics79
    @thelightofeconomics79 11 місяців тому +1

    Thank you sir.

  • @Alieconomicskargil
    @Alieconomicskargil 3 роки тому +1

    Outstanding

  • @mehrunnisaturke5678
    @mehrunnisaturke5678 3 роки тому

    Bhaijaan aap ke video me Jahan aapne feature scaling yani standardization ki baat hai usme aapne kaha hai ke jab hum regression standardised kar ke run karte hai in that case alpha is 0. It means the line goes through origin (x,y) (0,0) centroid. In that how error term will become zero based on assumption. Ya fir aisa hai alpha and error term ki value same aati hai but both are addictive inverse like alpha 3 and error term -3 in this case both alpha and error term become zero. Plz reply kare

  • @rinkujangra4217
    @rinkujangra4217 6 місяців тому +1

    Thanks sir ❤

  • @learningzone8333
    @learningzone8333 3 роки тому +1

    @TJ Academy
    This should be added in the Title of this video ==>> BLUE, Gauss Markov Theorem
    So that this video will appear in search results if any students uses these words in search bar

  • @diya380
    @diya380 2 роки тому +1

    Thanks yo so much sir

  • @jozerashid4417
    @jozerashid4417 Рік тому +1

    Thanks sir

  • @nisarkhan6072
    @nisarkhan6072 4 роки тому +1

    Masha Allah sir

  • @mubashirsonlineacademy9886
    @mubashirsonlineacademy9886 3 роки тому

    Great work Dr. Tehseen 👍👍👍. Could you please make a video about endogeneity and how this problem can be addressed.

  • @hkarwa
    @hkarwa 4 роки тому +1

    In which model, we can measure alpha inversly proportional to beta??? Under what circumstances this inverse relation will be possible???

  • @AmanKhan-vk3mi
    @AmanKhan-vk3mi 3 роки тому +1

    Ur lectures r really very helpful ... thanks
    Sir can you give a lecture that .... why we use residual/ error term in the regression model

    • @TJAcademyofficial
      @TJAcademyofficial  3 роки тому

      Thank you for your message. Please find the link below as requested.
      ua-cam.com/video/Wh1aGPWVOro/v-deo.html

  • @anshitasachan8715
    @anshitasachan8715 2 роки тому +1

    where to find video for assumptions not discussed in this video?

  • @crownstudy1298
    @crownstudy1298 2 роки тому +1

    Thanks 🙏🙏🙏🙏🙏🙏

  • @arungrewal6249
    @arungrewal6249 3 роки тому +1

    Nice sir ji

  • @laxmantandan3981
    @laxmantandan3981 4 роки тому +1

    Super explanation sir

  • @qazihabib6760
    @qazihabib6760 3 роки тому

    very good and very helpful

  • @17Shahbaz
    @17Shahbaz Рік тому +1

    Sir, referring to the 1st assumption of CLRM. a variable with a square power would become a non linear equation as per many other books and sources. Kindly elaborate this concept.

    • @TJAcademyofficial
      @TJAcademyofficial  Рік тому

      Assumption is "Linear in parameters" and you are talking about non linear in variables 👍

  • @hinajafri9689
    @hinajafri9689 3 роки тому +1

    Sir can we solve some questions as well related to every topic.

  • @irfanzaheer9677
    @irfanzaheer9677 3 роки тому +1

    Thanks alot sir

  • @fatimahoorvlogs2788
    @fatimahoorvlogs2788 3 роки тому

    sir plzzz jo ap bolty k discussion kr chukhy. wo kindly link dala kryn plzz

  • @ayeshabaloch2397
    @ayeshabaloch2397 3 роки тому

    Good explain 👍🏻

  • @Rohit_Lala
    @Rohit_Lala 2 роки тому +1

    sir can you upload a video on MIDAS Regression with example using e views...
    it will be great help to researcher community.. if possible
    Kind Regards

  • @fizzamarvi6217
    @fizzamarvi6217 8 місяців тому +1

    can someone share link of video in which 1st 3 assumptions are disscused

  • @adilmajeed8439
    @adilmajeed8439 4 роки тому +1

    Classical video. A question here how can I find the coefficient of determination where one of the variable is in percentage? Please could you provide some link or example…

    • @TJAcademyofficial
      @TJAcademyofficial  4 роки тому +2

      Thank you for your message. Coefficient of determination depends on how many relevant and irrelevant variables are used in regression and does not depend on types of variable. For more details see
      1. ua-cam.com/video/G6FcMPohTNo/v-deo.html
      2. ua-cam.com/video/tTr-9v7D0uY/v-deo.html

    • @adilmajeed8439
      @adilmajeed8439 4 роки тому

      TJ Academy thanks for the response; I have seen both the videos earlier than when you have respond. But when I tried to use in simple excel sheet, I am getting the response what I am looking for as compare to the number which excel built in formula calculate. What I am missing here? Any suggestions ....

  • @shafiqueahmad128
    @shafiqueahmad128 3 роки тому +1

    Sir plz logit and probit models are highly requested to discuss ....

    • @TJAcademyofficial
      @TJAcademyofficial  3 роки тому +1

      InshaAllah zarur.

    • @shafiqueahmad128
      @shafiqueahmad128 3 роки тому +1

      @@TJAcademyofficial thnks sir,
      your way of teaching is so good that i do recommend every instructor to walk on your footsteps in the context of delivering lectures in their concerning institutes...
      Really appreciative art of teaching from your hand sir...
      God bless you much more even beyond your expectations..ameen.

  • @shahidaziz3623
    @shahidaziz3623 Рік тому +1

    Why error term is part of regression model

    • @TJAcademyofficial
      @TJAcademyofficial  Рік тому

      Plz watch below video
      ua-cam.com/video/Wh1aGPWVOro/v-deo.html

  • @mohitgehlot6582
    @mohitgehlot6582 Рік тому +1

    Osm

  • @nisarkhan6072
    @nisarkhan6072 4 роки тому +1

    Sir agr video ka ap k 7 time nai ha
    Reply me batyea

  • @happyfamily2246
    @happyfamily2246 2 роки тому +1

    Salam sir how to contact u kindly reply

  • @sourabhrathore6500
    @sourabhrathore6500 Рік тому +1

    *JAI SHREE RAM* 🚩🚩🚩🚩

  • @mariaelianaze393
    @mariaelianaze393 Рік тому +2

    Apki bilkul samajh ni ati

    • @TJAcademyofficial
      @TJAcademyofficial  Рік тому

      Agar aap sequence follow krengay playlist ki to samajh aajayegi. Agar direct ye video dekhaingay baghair background k thoda problem Hoga.

  • @SabitaDhakal-x9b
    @SabitaDhakal-x9b Рік тому +1

    Thank you sir.

  • @Datacrunch777
    @Datacrunch777 3 роки тому +1

    sir kindly make a lecture on canonical form of regression equation and orthogonal matrix.

  • @chandnirana369
    @chandnirana369 2 роки тому +1

    Thank you sir 🙏