Statistics 101: Multiple Regression, Best Subsets

In this Statistics 101 video, we explore the regression model building process known as best subsets regression. This is done through conceptual explanations and by analyzing computer output from JMP. Enjoy!
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com
JMP by SAS: www.jmp.com/en...
Happy learning!
#statistics #machinelearning #datascience

[@pipertripp]

This whole playlist is gold. Thanks for all of your hard work to create it, Brandon!

[@ammanaayanpeace]

Thanks is just a small word against what you have done for students
You are really great and I can't express
People like you are too few,
I appreciate your time and work thanks! I watched your videos during my MBA Class ..God bless u

[@sherifismail4182]

Star of stars king Brandon, You have all my appreciation - you are my statistics prof

[@Himilo.Hansare]

Brandon should train stat instructors worldwide; seriously!

[@Rin_Chawngthu]

Namaste, and thank you from India 🇮🇳

[@duttatreyadas4637]

Thanks ! Could you make a video detailing the Mallows Cp concept.

[@desnamjp]

Why am I in my classroom and jumping on to hear about multiple regression??? Thanks Brandon

[@mishmish6793]

Namaste. Please help.
I have a huge dataset (cancer deathrate form 50 states of USA). I need to built a regression model.
Before starting with the building, I plot the scatterplot matrix to check linearity, and it doesnt look good at all.
Since it my dataset his huge, can I avoide checking linearity before doing regression?
and if not, how can I solve this issue?
Thanks in advance!

[@chanchaterhemba5956]

Love your work. Can i have your email.