Assumptions for Multiple linear Regression Analysis using SPSS in Amharic

[@MeazaLegesse-w3o]

Thank you Ur teaching style is very interesting

[@TilahunHailu]

Perfect tutorial

[@shibeshiabebaw5426]

It is very nice video; Short and clear. Thank you!!!!

[@yohannesbisa2185]

Very important presentation. Thank you!

[@abdisabelete1911]

Thank you ❤❤❤❤

[@keytube-427]

Very! very! very! thank you !!! a lot of ambiguous things have been cleared for me

[@mequanintdessie3881]

It is very good thank u

[@abdib4801]

it is very useful tutorial Good bless u!!!!!!!!

[@petroskacha6455]

great.......thank you

[@fikadunigusie-qt6bn]

enamesegnalen arif timhrt new berta wendme

[@birhanugizaw3068]

Good,I Learned a lot, continue on other analysis session, keep it up!

[@samuelgirma6728]

ሰላም ወንድም 5 Indipendent variable ከ dependant variable ጋረ በ አንድ ግራፍ እንዴት ነዉ ሚሰራዉ

[@tadelemamo304]

very good

[@mesfin.ayalew]

how i can check assumption in multiple linear Regression with categorical independent variable?

[@mesfin.ayalew]

Hi Jo.would you help me on how i can check assumption in multiple linear Regression with categorical independent variable?

[@seidwodajo3499]

Thank you dear for your episodes of very useful tutorials on Advanced Biostatistics. I hope you will also prepare a brief video on the 3 models of survival analysis; Life table, Kaplan and Cox regression .

[@josephyoutube5816]

Thank you Seid for you suggestion and request, I will

[@wasihunalemnew4030]

What are residuals? Define residuals

[@mechatulema6510]

would you maind if you forward us the document pdf?

[@BetsegawD]

thank u❤

[@kanjoking3825]

VIF equal to 1 = variables are not correlated.
VIF between 1 and 5 = variables are moderately correlated.
VIF greater than 5 = variables are highly correlated.
Tolerance is an inverted VIF

[@wasihunalemnew4030]

STATA training

[@yonadansiefu8294]

Good it is helpful thank u you email pls