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Thank you🙇‍♂️

Thanks soo much. This really helped me just now. I'm soo happy to have found this.

thank you

thnx

awesome thank you

unit root test is used for all the variables, i.e, IVs and DV , all.

Pls do a video on confirmatory factor analysis

Very good explanation mam. Thank you for that.

when you've already written on your video that you re using eviews then why are you taking time of telling what stationarity is about why can't you just skip things and start with reviews only.

Excellently clear. Thank you!

Is there any video on how to conduct correlation & discriptive analysis through EViews?

Hello , if a candidate is using primary data is it compulsory to do unit root test before going to use regression

Can I use this information for my video reporting?Thank you

can we compare in it scores on the same variable from two different groups?

"remove from data set" No way! statisticians can not remove the outliers.

precise and informative, thank you

Thank you, You helped me with my homework. Very Good! Thank you!!!

why my smart pls not calculating :(

Thank you. it was great. 😍

hello maam I need your help with research work

Thank you thank you and thank you

Finally learned peared sample t test 😂

Very clear and straigh to the point, thanks..

Research is kind of prediction Your prediction right or wrong You have to perform statical study and empirical correlation and verify by practical

Thanks ..I have negative value how can I explain it?

Please data bta dyy konsa lia ha

Please data bta dyy konsa lia ha

Data konsa lia ha please send me

please explain Mann-Whitney U-test and Wilcoxon test

This is really great. Thank You Very Much. Some people take benefits but do not recognize the source of benefits. I am not among them, In Sha Allah.

1. Strength (strong, moderate and weak) 2. Nature (positive or negative) 3. Significance (significant and insignificant) To see the strength, we have to see the values of pearson correlation. If the values lie in pearson correlation between 0.7 to 1(0.7 to 1) then its shows that the relation is strong if the values lies 0.3 to 0.7 (0.3 to 0.7) then its shows that relation is moderate and if the relation lies less than 3(<3) then its shows that the relation is week. Second thing is nature if the value of correlation is positive then the nature will be positive and if the value of correlation is negative the nature will be negative. Third thing is significance, the value will be check with significance level at 0.05 = 5% if P- value > 0.05 then the relationship between the variable is said to be insignificant and if the P- value < 0.05 then the relationship between the variable is significant. need the sources of the above your statement pls

What the meaning of None

Thankyou. Madam just clear one thing that for missing value greater than 0 means there is a missing value and if there is 0 it means there is no missing value isn't that man?

This explanation bold me over=Most excellent explanation completed very simply for me to understand=You just got a subscriber.

Thnx

hello, how do you correct a severe multicollinearity problem on Eviews

Great 👍

hello . Can you tell me what the types of Testes required befor the apply regression analysis؟ like series stability ...... and other

Thanks a bunch for this very Cristal clear explanation.

you just made it simple and easy to understand. Thank you.

thanks a lot

Data set please

Hi. thank you for your video. Would you please help me on a specific problem? How do we use cointegration test when we have systems of equations? And one big problem is the angle granger critical values for this test are for samples above 50. I have a translog system which each of it's equations has just 20 elements! I can't make my sample size; so do you know what should I do?

Thank you for the step by step tutorial

Nice tools 🔫

You made easy 😊

Very well explained. If the significant level is >0.05 (5%) then what would be the course of action ??

Maam mere thesis k model mai 5 variables hn agr tou kia mjhe 5 k 5 variables ka univariate nikalna hoga..??