Video

Great and helpful. Thanks

thnaks

this is good

Great explanation amazing! 💯

Can anyone guide me about what to do if the residuals are not normally distributed?

as the assumption of homoscedasticity is violated , what to do now?

Thanks for sharing the vedio. Am I correct to say that from the matrix scatter plots, some showing the linearity and homoscedasticity assumptions are violated? Why do you still proceed with Pearson test? Thanks in advance

Can you please let me know how to correct the autocorrelation? the Value of Durbin Watson test is coming out as .617 How to take it around 2?

how can i contact you

Great Video

Very informative video sir. If correlation coefficient is positive but regression coefficient (multiple regression analysis) of the variable comes negative what inference can be drawn from such analysis? Kindly tell.

Present Yogmath 1 second ago czcams.com/video/3oLt6KaJ8w8/video.html Great video! As someone who has used SPSS for data analysis, I can definitely attest to its power and usefulness. The user-friendly interface and wide range of features make it a go-to choice for researchers and analysts alike. I appreciated how the video showcased the various capabilities of SPSS, from data visualization to hypothesis testing. It's impressive to see how quickly and easily SPSS can produce meaningful insights from raw data. If you're new to SPSS or considering switching to it for your data analysis needs, this video is a great introduction. And for those who are already familiar with SPSS, it's a helpful reminder of all the amazing things this software can do. Thanks for sharing this informative video!

You have explained this so well, thank you. However if the assumptions have been violated what is done?

thankyou for being the only helpful video i could find in 2 days!

Crystal clear. Mam, I wanna know the assumptions of ANCOVA and unpaired t test are the same?

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I could only listen for about 15 seconds, because the use of "data" as a singular word was too grating.

Thanks for sharing , May you please add the interpretation as you’re writing in Word.

Hi I have a question. Why did you not divide the alpha (5%) by 2? In my understanding you test a two-tailed hypothesis and thus, the alpha should be divided by to. The result will be significant when the p-value is lower than 0.025 Could you clarify? Thank you

Very detailed thank you. My question is that what if all assumptions are not met can we still run the Analysis.

thank you sooo much!

v gud explanation ❤💐

so what is recommended if the dependent varaiable data is not normally distributed??

what to do if the data violates these assumptions?

Great video, very easy to follow!

But how do you assess the linearity assumption?😩😭😭

Thank you! I have one question on my analysis Igot beta valuev 0.026 which is positive but sig value is 0.672 which is above 0.05 . should i accept the hypothesis ? Or what can i do?

This is perfect and I have learnt from it thank you ma. But please I would like a video on starting from scratch (data entry) that led to running the regression

Such a brilliant explanation.

Is problem if Interpreting with out hyphotesis

Go on

Go on

hi its not clear to me the last part of expected count the text says 3 how did you get that

Awesome! Just to the point. none could explain better than this.

This applies only to continuous and ordinal data?

How do you do anova when there is 9 independent variables and 1 dependent variable in the analysis?

Please Can we use or click on the chi-square test if we do crosstab for 2 ordinal variables? Thank you

Thank you madam.

This vide is transparent, crystal clear for regression analysis.

Please help me with this issue, i have run bivariate correlation and linear regression. the thing is that, correlation analysis shows positive relationship while regression unstandardized coefficients shows negative, how? is it due to multicollinearity or else....?

so helpful !! thanks a lot :)

If the p value is higher, then. .05, does this mean that the starbucks drinks differ from eachother?

This video has been a life saver! The pacing and explanation were so clear, and much easier to understand than most. Thank you so much!

what if you get .000 in the unstandardized B coefficient, but it is statistically significant?

may i know for anova test for equal variance, when we need to based on the median?

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If assumation of normality is not obtained can we do anova

Thank you so much

Thank you so much