Thank you very much, dear Melaku. It is a great explanation, specially for Ethiopians. You are doing great work to help the academic community. I do have questions on the numerical ranges you explained on the assumptions. Of course it may depend on different scholars but should not it be universal? for ex. Durbin Watson test. some say the numbers near to 0 shows a positive autocorrelation and close to 4 shows negative autocorrelation, 1.5-2.5 no autocrrelation Gujarati (2003). How do you see that?
Betam arif new melaku. ግን አንድ ጥያቄ አለኝ፡፡ Dependent variable (DV) megbat yalebet be Y axis box wust ena independent variables (IVs) be X axis box wust endehone new yemawkew ante gin yasgebahew beteqaraniw new. Model interpretation lay chigr yelewm?.
In that case, you need to employ logistic regression. However, there are 3 types of categorical variables depending on the nature of a dependent variable. Binary or binomial (two responses, multinomial (more than two responses), and ordinal (more than two responses with rank). Each type will be analyzed with different regression (binary, multinomial, or ordinal logistic regression). I have a video about all of them. Please search for them on my channel.
If my videos bring a smile to your face, why not show some love? ☕✨ You can buy me a coffee through "Yebuna" using the following link! Click here: ye-buna.com/melakumathewos Your support helps me create more amazing videos. Thank you!
Thanks, boss, for your explanation Q1. if you okay please say some examples, about iv and dv corresponding to objective of the study b/c question preparation is one base poin for this analysis.
it is smart presentation. please send me your email if you can and i need detail explanation about how to use propensity score matching, its assumption, for what type of data its used and how to interpret its results
thank you melaku for your smart presentation. please send me your email or telegram address if you can and i need detail explanation about how to use double hurdle model, its assumption, for what type of data its used and how to interpret its results. if it is possible please make a video about double hurdle model in your you tube address.
![Multiple linear regression for Likert scale data -[Amharic lecture]](http://i.ytimg.com/vi/famtkWTu3R0/mqdefault.jpg)
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Thank you, Melaku!
It is a life saving tutorial with detailed explanation, mainly for those of us with limited time to search a lot of concepts.
Nice to hear this from you. Thank you!
Thank you Melaku! You were my best teacher when I was your MPH student, and you are still my best teacher through this channel as well.
thank you melaku , NICELY PRESENTED
God bless you
Thank u melaku. U are helping lot of thesis students in each year, the way u explain is fabulous. Keep going on
Thanks ! Melaku Mathose , I have got a lot of point from you. Please keep it up
Thank very much melaku I learn more from you keep it up my God bless you
Thank you very much, dear Melaku. It is a great explanation, specially for Ethiopians. You are doing great work to help the academic community. I do have questions on the numerical ranges you explained on the assumptions. Of course it may depend on different scholars but should not it be universal? for ex. Durbin Watson test. some say the numbers near to 0 shows a positive autocorrelation and close to 4 shows negative autocorrelation, 1.5-2.5 no autocrrelation Gujarati (2003). How do you see that?
Dear Melaku, would you please a video about the stepwise and heirarchical regression?
Betam arif new melaku. ግን አንድ ጥያቄ አለኝ፡፡ Dependent variable (DV) megbat yalebet be Y axis box wust ena independent variables (IVs) be X axis box wust endehone new yemawkew ante gin yasgebahew beteqaraniw new. Model interpretation lay chigr yelewm?.
ልክ ነህ። እኔ በስህተት ነበር ያስገባሁት። የሁለት ቫይራብሎች ግንኙነት የሚያሳይ እንደመሆኑ ሰፊ ልዩነት አያመጣም ብዬ አምናለሁ። በቀጣይ ቪዲዮውን የማስተካክልበትን መንገድ እፈልጋለሁ። አመሰግናለሁ።
How to categories KAP and compute mean for each of them please 🙏
Thanks for the video, but what if our independent variables are categorical?
In that case, you need to employ logistic regression. However, there are 3 types of categorical variables depending on the nature of a dependent variable. Binary or binomial (two responses, multinomial (more than two responses), and ordinal (more than two responses with rank). Each type will be analyzed with different regression (binary, multinomial, or ordinal logistic regression). I have a video about all of them. Please search for them on my channel.
geta zemenhn yibark
If my videos bring a smile to your face, why not show some love? ☕✨ You can buy me a coffee through "Yebuna" using the following link! Click here: ye-buna.com/melakumathewos
Your support helps me create more amazing videos. Thank you!
Thank you la lot
perfect .Please keep it up
on scatter plot DV should be in the Y axis and IDV into x-axis. it should be corrected.
You're right, thank you!
Melaku thanks for your info.
Please do video about stata
በጣም አሪፍ
Thanks, boss, for your explanation
Q1. if you okay please say some examples, about iv and dv corresponding to objective of the study b/c question preparation is one base poin for this analysis.
Can't understand. Would you mind clarifying your question?
are there ground IMPACTS b/n the difference of dv & iv questions interns of objective setting.
ምርጥ ነው በርታ
I really appreciate you bro.please can you make a video about Structural equation modelling using Amos (spss)?
please make tutorials about binary logistic regression because the sound of ebrahim is difficult to hear
Get it here
ruclips.net/video/XUSVq6HRwLw/видео.html
Dear Melkamu thankyou
Thank You
Good explanation
melaku endet neh tefiche neber metichalew endet neh
Welcome back 🤗
ጥይት ነሽ!
🐱
Melaku thanks to your video,God bless you dear.
Can l have your telegram link please?
@Melaku_Mathewos
interpretation of R yhnn bsraln
it is smart presentation. please send me your email if you can and i need detail explanation about how to use propensity score matching, its assumption, for what type of data its used and how to interpret its results
thank you melaku for your smart presentation. please send me your email or telegram address if you can and i need detail explanation about how to use double hurdle model, its assumption, for what type of data its used and how to interpret its results. if it is possible please make a video about double hurdle model in your you tube address.