61. CLASSICAL LINEAR REGRESSION MODEL | OLS ESTIMATE | Concept | Digression (estimate derivation)

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  • Опубліковано 2 лют 2021
  • #classicallinearregressionmodel #olsestimate #clrm #econometrics
    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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КОМЕНТАРІ • 39

  • @nanigopalnandi2672
    @nanigopalnandi2672 29 днів тому

    Good Lecture❤

  • @okezieihugba7275
    @okezieihugba7275 6 днів тому +1

    Good one

  • @ananyasingh7983
    @ananyasingh7983 2 роки тому +7

    Ma'am you are really wonderful. I'm shocked how I understood everything so quickly, I was struggling before. The best thing is you teach it from the very basic, each and every term is explained. I'm so grateful that I came across your channel. I might do good this semester! thank you so much.

    • @economicspedia7096
      @economicspedia7096  2 роки тому +1

      Glad to hear that Ananya. All the best for your exam. 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!

  • @Yawmacho
    @Yawmacho 2 роки тому +1

    I really like th way you took you time and explain things
    than you for a great wok

  • @bismayasanketjena9061
    @bismayasanketjena9061 Рік тому +2

    Your efforts are so much helpful to us
    Thank you for the same

  • @hellomedian773
    @hellomedian773 5 днів тому

    Tomorrow is my exam and I was panicking and thinking how will I study but I found your videos and belive me they are helping me a lot. Thank you so much ma'am!

  • @nirupamdas9128
    @nirupamdas9128 2 місяці тому +1

    Very good

  • @riteshKumar-xv1qw
    @riteshKumar-xv1qw 2 роки тому +3

    Mam ,ur teaching technique is as beautiful as u r .

    • @economicspedia7096
      @economicspedia7096  2 роки тому

      Hello Ritesh , thank you for watching and following Economics Pedia.

  • @faithonchoke4430
    @faithonchoke4430 Рік тому

    Good explanation.

  • @pragyansarmah2803
    @pragyansarmah2803 Рік тому +1

    Nice explanation ma'am 👍

  • @your_bro_is_here
    @your_bro_is_here 3 місяці тому

    Thank you.

  • @Economics365
    @Economics365 2 роки тому

    Thank you so much mam

  • @aiswaryashellychippa1790
    @aiswaryashellychippa1790 8 місяців тому +1

    Nice 😊😊

  • @pawankumargupta9698
    @pawankumargupta9698 3 роки тому +2

    👌👌

  • @premeditz13
    @premeditz13 Рік тому +1

    Outstanding
    Nice explanation
    Thank you so much mam

  • @anniethinglive7733
    @anniethinglive7733 Рік тому

    KHATAMMMMM

  • @aniketbhattacharya9256
    @aniketbhattacharya9256 3 роки тому +2

    👍🏻

  • @nazmulsarker3459
    @nazmulsarker3459 2 роки тому

    Love from Bangladesh

  • @mdhasibulhasan1119
    @mdhasibulhasan1119 Рік тому

    love from Bangladesh

  • @mdshohaghossen8065
    @mdshohaghossen8065 2 роки тому

    Please solve this question-
    Consider the linear regression model y = - 1.5x + 5.6 + e, where e is a normal random variable with mean 0 and variance O ^ 2 = 4 Determine the mean and standard deviation of when x = 2 and x = 4.5

  • @saniyafereira03
    @saniyafereira03 3 роки тому +1

    I didn't understand the part after del values and its calculation.

  • @thomachankt8235
    @thomachankt8235 Рік тому

    Where is second order condition for minima

  • @laonglaan7736
    @laonglaan7736 2 роки тому

    What is del?

  • @anishkumar7691
    @anishkumar7691 3 роки тому +1

    Ma'am residual, error term, stochastic error term... etc all r same???

    • @economicspedia7096
      @economicspedia7096  3 роки тому +1

      That is an appreciable question. Answering to your question, error term and stochastic error term are same, but error and residual are not same. The difference of it has been explained in the session as well. Thank you for your support and stay tuned to Economics Pedia for new sessions.

  • @rachittyagiyoutube
    @rachittyagiyoutube 2 роки тому +2

    Ols is minimize of error term or residual term?

    • @economicspedia7096
      @economicspedia7096  2 роки тому +1

      Hello Rachit, OLS is minimization of RSS i.e., residual sum of squares. 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!

  • @pawanpanchal2217
    @pawanpanchal2217 Рік тому

    Mam smjh m toh khair kuch nhi aaya
    Pr aapko dekh kr acha boht lga..

    • @Lpf-oz9sj
      @Lpf-oz9sj 5 місяців тому

      😂😂😂

  • @amirsohail1244
    @amirsohail1244 10 місяців тому +1

    Mam what is the difference between clrm and linear regression model

  • @abdulkabeer78
    @abdulkabeer78 2 роки тому +1

    Great cute mam.

  • @greenmaniac4650
    @greenmaniac4650 7 місяців тому

    Looks confused in the middle