62. TEN CLRM ASSUMPTIONS | Classical Linear Regression Model Assumptions | (10 important ticks )

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  • Опубликовано: 14 фев 2021
  • #clrm #clrmassumptions #10assumptionsclrm
    The classical Linear regression model is one of the important cornerstones of econometrics. It is important to understand the concepts and get hold of important areas.
    The estimators that we create through linear regression give us a relationship between the variables. However, performing a regression does not automatically give us a reliable relationship between the variables. In order to create reliable relationships, we must know the properties of the estimators and show that some basic assumptions about the data are true. One must understand that having a good dataset is of enormous importance for applied economic research.
    The estimation and hypothesis testing are the twin branches of statistical inference. Based on the OLS, we obtained the sample regression, such as the one shown in Equation.
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Комментарии • 65

  • @andulileedwin3182
    @andulileedwin3182 Год назад +3

    You know the best. You actually have opened up my eyes. Thank U!

  • @mr.empire0902
    @mr.empire0902 Год назад +2

    The way of your teaching is so simple and clear..❤️

  • @saintrhemajl
    @saintrhemajl Год назад +3

    Thank you so much. You've made it so simple.

  • @akanshasrivastava5347
    @akanshasrivastava5347 2 года назад +1

    Kal assignment submit karna tha
    Thanks mam
    Iss video ne mera assisgment complete kar diya

  • @pawankumargupta9698
    @pawankumargupta9698 3 года назад +5

    Thanks....
    It's really important for understanding of CLRM properly...👌👌

  • @naeemkhan4246
    @naeemkhan4246 Год назад

    well done, Appreciated

  • @user-jj7dm5en9z
    @user-jj7dm5en9z 6 месяцев назад

    Wonderful you are while lecturing and it is precise!

  • @mr.empire0902
    @mr.empire0902 Год назад

    Just loved it❤️

  • @nomvuladube3035
    @nomvuladube3035 Год назад +1

    You saved me, thank you so much 🙏

  • @hassanjanecon
    @hassanjanecon 2 года назад

    Thanks you very much ma'am you explained it very well.

  • @gediwonhussen2618
    @gediwonhussen2618 8 месяцев назад +1

    Excellent

  • @ddbahinisahakari8544
    @ddbahinisahakari8544 Год назад

    good & helpful video

  • @zarminbibi8214
    @zarminbibi8214 Год назад

    Very informative

  • @dreamyforsinger6965
    @dreamyforsinger6965 2 года назад +1

    Very nice explanation mam

  • @nurudeenbaba9966
    @nurudeenbaba9966 2 года назад +3

    very helpful indeed. please keep it up

    • @economicspedia7096
      @economicspedia7096  2 года назад

      Keep watching Nurudeen. Kindly stay tuned to our channel for further updates. For any further assistance kindly contact us via mail: ecopedia02@gmail.com or WhatsApp: 9051981561. Telegram channel:
      t.me/+95we-2ABnSdmNzQ9
      Thank you very much for your support. Also, subscribe to our channel if you haven't done it already!

  • @user-xm2xe1dt9c
    @user-xm2xe1dt9c Год назад

    Thank you so much.

  • @santoshdas9739
    @santoshdas9739 2 года назад +1

    THNKQ SO MUCH mam for nyc explanation

  • @sarahbrassington
    @sarahbrassington Год назад +1

    Great

  • @yasasmeeranawaka9019
    @yasasmeeranawaka9019 7 месяцев назад +1

    Thank you so much for this wonderful sesh madam!!!

  • @kavitham6497
    @kavitham6497 8 месяцев назад +1

    Thank you

  • @amoreenamaureen8963
    @amoreenamaureen8963 Год назад

    thanks alot

  • @gitanjalibehera9738
    @gitanjalibehera9738 Год назад +1

    Thank you so much ma'am

  • @kavindyadinani3979
    @kavindyadinani3979 10 месяцев назад +1

    thank u.helpful

  • @anshuman3666
    @anshuman3666 3 года назад +3

    Thanks a lot ma'am !!🙏🙏

    • @economicspedia7096
      @economicspedia7096  3 года назад

      All the best Anshuman! Keep watching Economics Pedia & subscribe for more sessions. Thank you!

  • @Economics365
    @Economics365 2 года назад +1

    Thank you so much mam

  • @user-yu1rk7sf9t
    @user-yu1rk7sf9t 6 месяцев назад

    mam it's an amazing content and helpful for us

  • @somyagupta5277
    @somyagupta5277 Год назад

    Thanks

  • @vikhil8131
    @vikhil8131 3 года назад +2

    Very intuitive

    • @economicspedia7096
      @economicspedia7096  3 года назад

      Thank you Vikhil. Glad you find so. Stay tuned to Economics Pedia for more of such sessions and subscribe to our channel !

  • @geniune168
    @geniune168 3 года назад +2

    Thanks Mam,Love from NEWYORK

    • @economicspedia7096
      @economicspedia7096  3 года назад

      So nice of you ! Subscribe to the channel for more such sessions. Thank you very much.

    • @geniune168
      @geniune168 3 года назад +1

      @@economicspedia7096 sure.

    • @akarshblog6420
      @akarshblog6420 3 года назад

      @@economicspedia7096 It shows gamers also study

  • @bikashborah8266
    @bikashborah8266 Год назад +1

    Thanks mam 🙏

  • @anushkabhosale5680
    @anushkabhosale5680 10 месяцев назад +1

    Thanks...helped me in exam

  • @florencezimba9263
    @florencezimba9263 Год назад

    Thank you madam nice explanation

  • @economicsforugc-net3063
    @economicsforugc-net3063 3 года назад +2

    Great mam

    • @economicspedia7096
      @economicspedia7096  3 года назад

      Thank you Marshall. Stay tuned to Economics Pedia for more such sessions. Subscribe to our channel if you haven't!

  • @Iramkabir7298
    @Iramkabir7298 2 года назад

    Easy 👍

  • @RohitKumar-fy9fp
    @RohitKumar-fy9fp Год назад

    nice ma"am :))

  • @yogeshjuleemun7183
    @yogeshjuleemun7183 3 года назад +3

    Hello Mam, can you do a video on criticism of all assumptions of the CLRM please!!!!

    • @economicspedia7096
      @economicspedia7096  3 года назад

      Hello Yogesh, sure we will take a session on criticisms of CLRM. We request you to kindly stay tuned and subscribe the channel now for any find of update. Thank you!

  • @suparnosamadder9149
    @suparnosamadder9149 3 года назад +1

    does stochasticity of x to ensure linearity in clrm is sufficient or necessary?? mam pls reply

  • @naumankhan1551
    @naumankhan1551 3 месяца назад +1

    the lecture is good but the assumptions should be explained with economic or non-economic variables examples in order to make it more easy for non econometrics students

    • @economicspedia7096
      @economicspedia7096  3 месяца назад

      Thanks for the suggestion. Keep watching Economics Pedia.

    • @economicspedia7096
      @economicspedia7096  3 месяца назад

      Thanks for the suggestion. Keep watching Economics Pedia.

  • @abdallahalrawashdeh4746
    @abdallahalrawashdeh4746 2 года назад +3

    Can you explain what is bias please and what it does to a model !

    • @economicspedia7096
      @economicspedia7096  2 года назад

      Hello Abdallah, bias is a situation where you don't get your required value of a statistic , it's a problem to any regression model. For more details feel free to contact us, mail ID: ecopedia02@gmail.com. Stay tuned for more such interesting topics. Subscribe and press the bell icon to never miss any update from Economics Pedia. Thank you very much!

    • @vijayalakshmig6790
      @vijayalakshmig6790 2 года назад

      Hi really nice explanation

    • @vijayalakshmig6790
      @vijayalakshmig6790 2 года назад

      Thanks a lot... Its very useful for me

    • @vijayalakshmig6790
      @vijayalakshmig6790 2 года назад

      Can you send me all links of full econometrics model

  • @kishorepatil5761
    @kishorepatil5761 2 года назад +1

    aswm

    • @economicspedia7096
      @economicspedia7096  2 года назад

      Stay tuned and subscribe the channel for further interesting topic discussions. Thank you

  • @tejasviyadav2497
    @tejasviyadav2497 2 года назад +1

    is simple linear regr model and classic linear reg model the same thing

    • @economicspedia7096
      @economicspedia7096  2 года назад

      Tejasvi, they are same . Stay tuned and subscribe the channel for further interesting topic discussions. Thank you

  • @nyc1292
    @nyc1292 2 года назад +1

    Kya item ho

    • @navyarishumishra
      @navyarishumishra 2 года назад

      I think minding your language would be better? This is what you have learned all your life?

  • @chaturvediyash999
    @chaturvediyash999 3 месяца назад

    No need to learn all these... Only 5 are main and important though...
    Linearity
    Independence
    Homoscedasticity
    Residual normality
    No multicollinearity

  • @learn._.everyday._.withme
    @learn._.everyday._.withme 4 месяца назад

    Thanks

  • @rupomdebnath5967
    @rupomdebnath5967 2 года назад

    Thanks