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Thanks teacher please next chapter

Thank you ❤❤❤continues

I have seen alot of econometrics lectures but u r amazing 👍 keep it up 👌

I have seen alot of econometrics lectures but u r amazing 👍 keep it up 👌

👍❤

i pray not to stop this kind of lectures. please go further for fe,re and GMM

good

So interesting bro! Keep it up.

Selam wendmachn yemtseraw video betam yimechegnal berta

cheers bro

other chapter content

Amazing !!

Betam tchkulaleh rega btl tru neber

20259S0PFF91X620 Adugna 2001

good! continue make another video

best channel

Pls try to do econometrics I chapter 4 for us ! For exit exam preparation

Ameseginalewugn

Econometrics chapter two part 3 barbanee

Econometrics I chapter 4

Pls try to do chapter four for us

Continue

Best

Thankyou teacher

Great appreciated !

This is very helpful, Thank you! Please post the following parts soon.

Good

Proud of you my teacher

Thank you, this is very helpful for our's.

good

It is a good work

Interesting

Interesting

በጣም እናመሰግናለን በርታልን አዲስ 🙏❤

Correction: import excel "filepath", sheet ("Sheet1") firstrow case(lower) clear

እንደት ነው ኮምፒተር ላይ መጫን እሚቻለው እባክህ እምቢ አለኝ

God bless this man !!

DIMTS AYSEMAM EKO

Part I: Use auto.dta from stata example database system and perform the following activities (6 mark) 1. Describe the variables mpg, headroom, and trunk using the menu and command window. 2. Summarize the variables price, headroom, trunk and length 3. From price and length, compute logprice and loglength, and then produce a summary statistic. 4. Conduct a mean-comparison of price between domestic and foreign Part II: Use the following table to answer from question 1 to 9 (12 marks) Id foodcons sex educ famsz inc1 inc2 1 3 1 6 3 4 6 2 4 1 7 4 4 6 3 5 1 10 2 5 5 4 6 1 9 4 2 8 5 7 1 8 2 6 4 6 7 1 3 4 2 18 7 8 2 9 4 1 19 8 9 1 10 6 5 15 9 10 2 11 7 11 9 10 11 2 12 5 13 7 11 11 2 13 6 12 18 12 12 1 11 8 11 19 13 13 2 13 9 22 8 14 14 2 14 10 24 6 15 15 2 16 11 26 4 1. Input the above data using excel and read using stata, save as foodcons and describe the content of the data. 2. Label the dataset using ‘Assosa household food consumption expenditure’ 3. Label the variables foodcons as food consumption expenditure, sex as the gender of the household head, educ as the head's education level, famsz as family size, inc1 as income source1, and inc2 as income source2. 4. Recode the values of the variable sex as 2 = 0 and 1 = 1, and label the values 0 and 1 as female and male, respectively. Then attach the value label and describe the content. 5. Generate variable totinc from inc1 and inc2. N.B totinc=inc1+inc2. And label the totinc as ‘total income of the household’ 6. Graph a scatter plot between foodcons and totinc. Also graph a pie chart for sex. 7. Conduct a relevant summary and frequency table for each variable separately and interpret the result. 8. Compare the mean food consumption expenditure between male and female. Check whether the difference is significant or not. Interpret the result. 9. Compute the correlation coefficient of food consumption expenditure and total income. how we can do this qustion

It's nice,but ur sound is not heard Please repeat again

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❤️🙏

❤❤ ..plse if you time prepare vedio for determinants of applicatiin of SIGTAS system

Nice

Dasp endeat new mechanew wondemea

many thanks

demtsune astekakel.

0:37 introduction 3:52 common statistical software 7:24 Selecting statistical software

Excellent review

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