Multiple Regression in SPSS - R Square; P-Value; ANOVA F; Beta (Part 3 of 3)

[@georgiaemily7]

I HAVE AN EXAM TOMORROW AND YOU LITERALLY SAVED MY LIFE THANK YOU SO MUCH!!!!!!!!!!!!!!!! I WOULD BUY YOU SO MUCH CAKE IF I KNEW YOU. YOU SIR, ARE THE BOMB!

[@ibrozene]

the way you explained it was so good. i was running mad before i found this video, now i can finish up my coursework.

[@hannahhyy]

This is the only resource on hierarchical regression I could find that answered ALL my questions. Thank you so much!

[@madelinechase6745]

These 3 videos were so perfectly articulated!!! This explained everything to me, thank you!

[@baktashjami]

I like this kind of explanation which explains every thing he says. That means, he is really expert not reading from a book. Well done

[@charmainedavies9305]

Life SAVER!! I have a research project due in a few days and this was the clearest explanation I've seen

[@diniibrahim4004]

I want to appreciate how you made easy the regression analysis

[@sophgee7791]

I have my psychology report due in at midnight and this analysis saved my life thank you

[@Zuzhizeuzzt]

Cheers for the help. Decided to do reg analysis for my diss, havent done it in 3 years. Nice little recap this, genuinely helped a lot.

[@tasmiamoslehuddin5531]

Your videos helped me so so much. Please keep on making more for your fans.

[@myrhh1]

Excellent video. I am so grateful that you took the time to explain it so clearly!

[@ethelkaimila5345]

This has been very helpful in interpreting multiple regression analysis output

[@vickystar5]

These videos have saved my life!!! THANK YOU SO MUCH

[@victoriarawlinson1546]

This provided an explanation that I couldn't find anywhere else. Thank you

[@jothilatha7945]

Excellent and lucid explanation. Thank you so much for the efforts.

[@AshutoshPandeymentor]

Dear Quantitative Specialists , Your videos are very helpful, I would like to request you to please explain the concept of durbin watson and collinearity test in Multiple Regression.

[@Andrea10833]

Thank you so much, these three videos were so very helpful!

[@danylaurewadji4585]

Thanks very much for your explanations. I could not find it elsewhere

[@23PAF]

Excellent video. My assignment will benefit from it. Thanks

[@sumayarashid5008]

great explanation so clear!! i love this guy!!!

[@ethelkaimila5345]

very very helpful. i can comfortably interpret the results.

[@wisdom9136]

This is the best and easiest solution on this many thanks . Others were simply bla bla

[@hisambaig6780]

You saved my project, Thank you so much

[@xunnygujjar2094]

Thanks for being a good guide.

[@carinesoniaadjilou4683]

Thank you so much, you are a great teacher.

[@abysswalkerx8434]

Really helpful, you are a great teacher! Thank you!

[@QuantitativeSpecialists]

+AbyssWalkerX8 Thanks, AbyssWalkerX8! Best of success with your regression analyses! QS

[@nahianbinhossain7124]

Love from Bangladesh :') Saved my semester

[@emmanueltandika932]

You explained it very well...thank you very much

[@Drgeius2009]

you explained it perfectly , thank you

[@JuliusTproFarmer]

Thanks very much

[@tracyross7696]

So helpful! Thank you!

[@DAZ-f1f]

This last thing you have explained in brief: ethnicity with four cathegories, well I have exactly such a situation with the European values survey, and I do not know how to create the three different variables that collectivelly measure ethnicity. Do you have a video for that? i wish to thank you for these wonderfully helpful videos.

[@10freekie2]

Do you explain interpretation of Beta values here? Cause I missed it then..

[@dylanm5454]

THANK YOU!!

[@algejiabdullahfaeqmohemmed6442]

wow such a nice explanation

[@nanchen1554]

very clear! great!

[@kingston99]

Good video, but you did not explain the equation. How you will write the relationship as per your example?

[@zharifothman4663]

you are a god

[@sabbirsakib8483]

Thank you so much

[@Glamverse_Krish]

Why linear modelling is used here?

[@Madimetjakk]

what eye opening and informative video. how does not get or download the video to watch offline ?

[@MarianaCosta-rt4gs]

Hi! thank you so much for your great explanations. I am working on a multiple regression and some of my variables are categorical, with more than 2 labels. how can I compute them in order to include them in the analysis? thank you in advance for your help!

[@adityakwatra6035]

have you covered multicollinearity anywhere if yes then please shar the link

[@abdullahmeym8734]

THANKS

[@nina5264]

I have a question: if sex effect is not significant shall we remove it from data?

[@havardvab9075]

Hi, Great video! In the end you mention categorical variables with more than two categories. Is that also a problem if you have "0 = no", "1=yes" and "9 = missing value"?

[@QuantitativeSpecialists]

+Håvard Vabø Hi Havard, No problem at all as long as you 'tell' SPSS that 9 means missing (so it doesn't interpret it as a value of 9).

[@fryderyksvioilin6121]

I have a question. If your data comprise numerical and % data. Should I change % into number?

[@christopheranderson1968]

Is .047 statistically significant? I'm no good sorting these sorts of numbers out.

[@verschlusssache6283]

6:30 shit, I need that really quick. I made that mistake and my deadline is in a few days. Can somebody link me the video where he explains that?

[@rashikakumari2621]

Df=3, df=26 ( from where these values came)?

[@kreshilakats635]

Hello, Thank you for this helpful video. However, i have noticed that when i myself have done my regression well the sig is 0.19 but still my constant (slope) or the 'm' in (y=mx+b) is negative. So how do i interpret it? Thank you in advance for the reply.

[@QuantitativeSpecialists]

Kreshila Kats A negative slope means that an increase in X is associated with a decrease in Y. However, because the p value is > .05, the test is not significant, so we would assume it is just sampling error (i.e., the slope is not significantly different from zero).

[@manishas.saxena2118]

Hello Sir can you add a regression vedio with the caregorical variables.

[@MrZUHAIBBHUTTO]

Hi, Quantitative Specialists It was really great videos, can you please help me to understand regression graph. specially a combined graph that shows the linearity of all predictors over (DV).

[@tahirasiddiqa5912]

Hi I need your help

[@シーサイアベベテフェリー]

i wish you could teach my prof

[@alison5909]

☆⌒(*＾-゜)v THX!!

[@subhraprakashpramanik9684]

Thank you so much