Simple Linear Regression: Interpreting Model Parameters

A look at the interpretation of the parameters (beta_0, beta_1, sigma^2), and their corresponding estimates in simple linear regression.

[jbstatistics]

You're welcome. Good luck on your exam!

[jbstatistics]

I'm not sure of the context in which you're asking this question. In this video I briefly discuss the theoretical mean of Y for a given value of X. If, say, we wish to estimate the mean of Y when X = X bar (the sample mean of the X values), then the estimated mean will be B0(hat) + B1(hat)*X bar. It turns out that this simply equals the sample mean of the Y values.

[renjing]

This video is reeeal good. The speaker has very clear and useful thoughts. I have to repeat this.

[jamescurry]

Usually don't make comments about videos, but this was too awesome not to! Great explanations, makes it sound so easy now haha. Had to subscribe! THANK YOU

[Purin]

Thanks for this. Watching tons of videos trying to study for finals.

[smithmarta]

Your voice sounds like Keith Olbermann! And I love all your videos! Thank you Keith in disguise, or whoever you are. :)

[charliefassino]

You helped me get a job for Elon Musk. I could not understand it but this video helped everything.

[payanioltimelok]

thank you over the world we will become integrity coz of your lecture

[arshri]

Great videos. Thank you. It will be great if you can upload more videos on other models of Machine Learning.

[arshri]

KNN, Random Forest, SVM, Neural Network and even Multiple Linear Regression, Trees etc. Thank You

[jidealabi]

if you get a question saying "Does the intercept have a useful interpretation in this context? after estimating B1 and Bo" how do you go about answering this ? Thank you

[buolica]

What is the difference between Mx|y and Y and why

[galaxyIIIuser]

at 4:59, when it is mentioned that s^2 is the estimated value of y at any given value of x, is this definition the same as the square of standard error? thanks for all these useful videos!!

[atanusamanta]

#jbstatistics awsome. If possible, please start video on statistical tool(like R, Tableau, SPSS).

[SajidKhan-opcp]

Take 3 different data sets of atleast 10 observations each and apply simple linear regression (least square) and interpret the results

Give me answers