Statistics 101: Multiple Regression, Best Subsets

Подписаться 291 тыс.

Просмотров 13 тыс.

50% 1

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_us/software.html
Happy learning!
#statistics #machinelearning #datascience

Опубликовано:

23 май 2021

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 9

@pipertripp 2 года назад

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

@ammanaayanpeace 3 года назад

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 Год назад

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

@Himilo.Hansare 2 года назад

Brandon should train stat instructors worldwide; seriously!

@Rin_Chawngthu 3 года назад

Namaste, and thank you from India 🇮🇳

@duttatreyadas4637 3 года назад

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

@desnamjp 3 года назад

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

@mishmish6793 3 года назад

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!