Multiple Regression - Introduction (1of3)

[@Happytobehereee]

Thank you so much..I’ve been so stressed..it’s almost 6am and I’ve been up all night trying to understand. Your lectures made it so easy. You’ve saved me. Thank you so much

[@marvinjoventuryasingura2179]

Hey Ann, Are you doing research or its classwork?

[@msm2188]

Thank you for sharing your lectures. You have opened the world of statistics to me!

[@mosidiabdulkadir4766]

I am a new subscriber....I am just so amazed how you explain this and it makes it easier to understand Multiple regression👌....I am using this to prepare for my exams....thank you so much..

[@PatObi]

You're welcome, Mosidi. Best wishes!

[@oluwatobilobaosinowo5833]

Thank you sir! My instructor should come and learn from you

[@yeoj2310]

Thanks for saving my life :,) I can at least pass my exams now ✨🤘🏻

[@PatObi]

You're welcome Joey.

[@hilleltladi9453]

Great videos Sir

[@SuchiSumanasekara]

Thank you so much for this vid! I finally understood Multiple regression theory, thanks to you sir!

[@PatObi]

My pleasure!

[@jiwonkim9001]

You deserve more subscribers

[@vincentdolido5437]

What is K? 7:20

[@PatObi]

k, in my presentation, refers to the number of parameters to be estimated: B0, B1, B2, etc. (refer to minute 8:40)