Regression Analysis Using SPSS - Analysis, Interpretation, and Reporting

Learn Regression Analysis Using SPSS - Analysis, Interpretation, and Reporting. The video discusses in detail
00:00 - Channel Introduction
00:13 - The Concept of Regression.
01:17 - The differences between Correlation and Regression.
02:18 - Example of Regression Analysis
03:46 - Concept of Bivariate Regression
05:51 - Important Regression Terminologies
08:27 - Concept of Multiple Regression
09:20 - How to Run and Interpret Regression Analysis using SPSS
12:22 - How to Report both Bivariate and Multiple Regression
For Notes, please visit the following link
researchwithfawad.com/index.p...
#ResearchCoach #SPSS #BivariateRegression #MultipleRegression #InterpretingRegressionAnalysis #ReportingRegressionAnalysis #ConceptOfRegression #SurveyAnalysis #BusinessResearch #ResearchCoach

[@briangarcia31]

This is such an amazing video. It goes in-depth so much through every single little thing. I really appreciate you making this video

[@researchwithfawad]

Glad it was helpful!

[@Vikerdevik]

1000x thank you for this video! Re-writing my thesis and this helped clear out the mental block I had! Amazing!

[@researchwithfawad]

Thanks. I am glad you liked it.

[@kouroumajeanmoussa4402]

Wow 👏 This is the best and most well explained videos on all the regression analysis that have come across on RUclips. It has cleared all my challenges! So complete and insightful, God bless you! Keep soaring and bringing such quality videos to help students!

[@researchwithfawad]

Thanks. I am happy to know that you liked the video.

[@dipankarkarmakar7145]

@@researchwithfawad a@p

[@aniketjha.8583]

It is the best explanation of regression analysis in RUclips..Everything is simplified and explained excellently.

[@researchwithfawad]

Thanks. I am glad you liked it.

[@ruchivohra]

Such an amazing video. It cleared all my doubts! Thank you for suggesting how to report the results and the interpretation!

[@researchwithfawad]

Glad it was helpful!

[@ayalurutv3267]

Excellent , simple and easy to understand the concepts and apply. I heard this concept many occasions from my colleague professors, but I could not make out the head and tail of it. Thank you for making this video. No I am pretty clear

[@researchwithfawad]

You are most welcome

[@user-ib9qu1fw2m]

This is by far the best video... Every single word was with a purpose. Thank you very much

[@researchwithfawad]

Glad it was helpful!

[@madalina-ioanabadila6268]

Good morning! I am glad I have discovered this amazing work of yours and would like to say a huge Thanks for sharing this knowledge. Such a great person ☺️

[@researchwithfawad]

Pleasure. I am gald that the videos are helpful. Keep watching and sharing.

[@ndapiwaericahpusoetsile8812]

i have been browsing the internet since morning,struggling and I finally landed here.Thank you so much for your time and effort.It was worth the watch,you saved my research project

[@researchwithfawad]

Glad I could help!

[@vartikabhatia6371]

thank you so much. using all the concepts for carrying out analysis of my thesis.

[@researchwithfawad]

Thanks. I am glad you liked it.

[@craftychinurse5941]

Thank you! Excellent video. I will watch it again because it was so informative!

[@researchwithfawad]

Thanks. I am glad you liked it.

[@colleenstuart190]

This video got me feeling high with excitement. I’m a MHP student writing up my thesis and I’m feeling so smart !!! Thank you!!!❤️

[@researchwithfawad]

Thanks l. I am glad you liked it

[@hunorszegedi5012]

Hello! Such a huge thanks! Greetings from Romania!

[@researchwithfawad]

Thanks. I am glad you liked it.

[@lzsss]

Finally i understand this regression after watch this. Thanks

[@researchwithfawad]

Thank you! I am glad you liked it.

[@grateful658]

One of the best explanations. I really enjoyed this explanation . So direct and very clear explanation .thanks

[@researchwithfawad]

Glad you liked it

[@loknathsapkota1534]

Thank you very much and appreciate your valuable instruction on this subject.

[@researchwithfawad]

Glad you enjoyed it!

[@ateilewis]

Sir, thank you very much , very simple but informative, clear and easy to comprehend

[@researchwithfawad]

Thanks. I am glad it was helpful

[@syedandrabi489]

Phenomenal explaination...highly grateful sir...may almighty bless u

[@researchwithfawad]

You are most welcome

[@JoshuaAjansonSule]

your explanation is comprehensive

[@researchwithfawad]

Thanks for watching.

[@mominabatool5472]

love the way you explain
God bless you

[@researchwithfawad]

So nice of you

[@alejandrareilly7831]

Thank you for such a great explanation! It was explained very well with examples and helped me understand how to interpret the charts.

[@researchwithfawad]

Thanks for watching

[@TMstudio-ET]

Thank you very much, this video helped me alot in executing my school assignment.

[@researchwithfawad]

Glad it helped!

[@banksmufutiat7301]

Thanks a lot for this video. It explains well.

[@researchwithfawad]

Glad it was helpful!

[@mohdkashif86]

Kya baat hai professor! Superb! Well explained. Salute to you.

[@researchwithfawad]

So nice of you

[@mamoonawaheed9127]

This is amazing.
Helped me a lot. Thanks

[@researchwithfawad]

Glad it helped!

[@salmantakkar]

Sir i have to say one thing just amazing you are one the best teacher . And also so humble as you given replies on all my questions on gmail thank you so much sir

[@researchwithfawad]

Thanks. I am glad that i was able to help.

[@Mr.Mosavi]

thanks, it was one of the best videos on regression

[@researchwithfawad]

Thanks. I am glad you liked it.

[@akankshashukla7218]

Wonderful video, thank u so much

[@researchwithfawad]

Glad you liked it!

[@proffesteducation8120]

Thank you very much for this ... It's well explained...

[@researchwithfawad]

Glad it was helpful!

[@abdelmgeeddleel3874]

this interpretation really made my day, I've been always struggling with explaining and reflecting the result in a clear and concise manner
from now ahead I'll use this method

[@researchwithfawad]

Thanks. I am really happy to know that the video was helpful. Keep Watching.

[@hrwithsanchita3056]

such a great work.....much appreciated sir....it is helping me a lot in my phd

[@researchwithfawad]

Glad to hear that. All the best.

[@muthulakshmis620]

thank u guru. for such a clear video .

[@researchwithfawad]

You're most welcome

[@monikabarnwal6389]

Very nicely explained, thanks

[@researchwithfawad]

Pleasure. I am glad you liked it.

[@beckienantongo2424]

Very helpful. Thank you very much

[@researchwithfawad]

Pleasure. I am glad you liked them.

[@noorsaher9789]

thankyou for amazing explanation keep going

[@researchwithfawad]

Thanks for watching.

[@yonamhango7291]

Great, am really assisted

[@researchwithfawad]

Pleasure. I am glad you liked it

[@PriyankaYadav-gr6dl]

Thank you sir.🙏

[@researchwithfawad]

Most welcome

[@chathurangabandara5004]

Thank you,, it was really helpful.

[@researchwithfawad]

Glad it was helpful!

[@Withme70]

Wow. Greatly explained❤

[@researchwithfawad]

Glad you liked it

[@hafijulshaikh1305]

Thank you so much sir

[@researchwithfawad]

Most welcome

[@adamstv1188]

Quite insightful

[@researchwithfawad]

Thanks. I am glad you liked it

[@umaynafashion7984]

MashaAllah, such a clear explanation

[@researchwithfawad]

الحمد للہ
I am glad you liked it

[@umaynafashion7984]

@@researchwithfawad I am running a linear regression between the mean composite of:
mastering thinking traps in marriage life (DV),
religiosity (IV) and,
marital satisfaction (IV)
All 3 variables were ordinal likert scale before computing them to mean composite.
very interesting study but unfortunately the correlation values are low.

[@sawsandandachy7382]

You rock it !!

[@researchwithfawad]

Thanks. I am glad you liked it

[@menashadesilva4147]

thank you sir...

[@researchwithfawad]

Most welcome

[@talhajattak7737]

Thanks sir you explain very well this

[@researchwithfawad]

So nice of you

[@naammekyahai]

wonderful explanation

[@researchwithfawad]

Thanks. I am glad you liked it.

[@DB-kv3wu]

An interesting explanation!

[@researchwithfawad]

Glad it was helpful!

[@nadiakhanonlineacademy238]

thanks

[@researchwithfawad]

You're welcome!

[@anitachopra9579]

Great work

[@researchwithfawad]

Thanks

[@colleenmbughi3342]

Thank You

[@researchwithfawad]

You're welcome

[@aseweelizabeth1305]

Very good explanation

[@researchwithfawad]

Thanks for watching.

[@shaunaguthrie4483]

This is great.

[@researchwithfawad]

Thanks. I am glad you liked it

[@simranjeetkaur4169]

Hello Sir, can we compute regression analysis if one IV score is recorded in two different group? Pls guide

[@varun9967]

Thank you

[@researchwithfawad]

You're welcome

[@Lifewith_Fairy]

really helpful😍😍

[@researchwithfawad]

Glad it was helpful!

[@abumonyeigbo5040]

Thank you sir. Well explained.

[@researchwithfawad]

Glad it helped

[@abumonyeigbo5040]

@@researchwithfawad Hi Fawad,
Can I write a literally research paper, and develop Hypotheses. Then propose for further research to test the hypotheses, while submitting the earlier (without testing the hypotheses) to a journal?

[@researchwithfawad]

Yes you can, but that conceptual paper has to be very strong in terms of contributions.

[@abumonyeigbo5040]

@@researchwithfawad Thank you Fawad.

[@nataliakrivdova9818]

Hi! Such a great video, thanks for sharing!
Although, I do have a question.
For IV/DV, do we need to compute total for the scale or mean?

[@researchwithfawad]

Thanks. I am glad you liked it. Yes, if the construct has multiple items, take mean and have a composite score for the variable before using it in Regression Analysis.

[@gogireddyvelagala1708]

Its great video..can u please explain me how to report t values for multiple regression as u have not mentioned in the video and whats its use ...

[@researchwithfawad]

Pleasure. I am glad you liked it. You can add a column for t statistics and report the t value each predictor.

[@caleblyrics]

Brilliant

[@researchwithfawad]

Thanks. I am glad you liked it.

[@Jamzz7]

Sir, please make a detailed video on Inner and Outer Vif and how can we interpret their significance.
Thank You.

[@researchwithfawad]

Hopefully soon

[@toqaalanbry4690]

You saved me

[@researchwithfawad]

Thanks. I am glad you liked it

[@rundreamachieve]

GREAT overview. Would you use linear regression if you were wondering if the need for venture legitimacy will moderate the relationship between status and stress and if so would VL be in the dependent and status and stress be the independent variables? Thank you Sir.

[@researchwithfawad]

Thanks for watching. You can use regression in SPSS or Hayes Process Macro. Please watch
ruclips.net/video/aLhh7OjVX-U/видео.html

[@mugomuiruri2313]

good fawad.mugo from africa

[@researchwithfawad]

Thanks. I am glad you liked it.

[@shwanahassan3860]

Thank you for the video... Do you have a similar video on how to interpret and report moderation/mediation? thanks

[@researchwithfawad]

Hi. Not on SPSS but these videos can help explain the concepts and interpretation
Mediation:
ruclips.net/video/Zu-P_KE0x4c/видео.html
ruclips.net/video/RjnfSVm3ev4/видео.html
Moderation
ruclips.net/video/dVM6NX0DLUo/видео.html
ruclips.net/video/S7_37sMSDno/видео.html

[@yerramaddumanoj4673]

Your explanation is very good sir . Thank you for providing this type of lecture .could you please tell me where we get the example data to do analysis for practice purpose

[@researchwithfawad]

Pleasure. I am glad you liked it. Please visit the Downloads page for a sample dataset.
researchwithfawad.com/index.php/download-research-resources/

[@victoribarbo2709]

legend

[@researchwithfawad]

Thanks. I am glad you liked it

[@alamdarwrites8321]

nice

[@researchwithfawad]

Thanks

[@dimitrachorianopoulou7958]

Great video @Fawad Latif. Do we have to attach the tables as well in the main text, in the appendix or nothing like that?
Thank you in advance

[@researchwithfawad]

Thanks. I am glad you liked it. If adding tables in a paper, put it in the end and just mention in text like
Insert table 1 here.

[@svvvresearch6699]

Very Nicely explain.... do let me have more material on reporting the analysis

[@researchwithfawad]

Thanks. I am glad you liked it. If you are looking for reporting spss results, please visit the playlist
SPSS Data Analysis: ruclips.net/p/PLb7vm6tsQ3KtPV0aJuJvLg6R2bcjvelCD

[@seemasaini162]

Sir, very informative video. I am working on my thesis analysis part . I have 24 independent variables(Likert scale) and converted in CFA with 4 factors and 1 dependent variable with income category. Can I use sum total or mean score of the each factor & then calculate the ordinal regression? please suggest.

[@researchwithfawad]

Thanks. I am glad you liked it. Yes, you can have composite independent variablesas well as dependent. But, if you are using ordinal regression, the dv is at ordinal level with ordered categories.

[@Alhamzah_F_Abbas]

Thank you for the explanation prof. what is the difference between regression analysis and path analysis?

[@researchwithfawad]

Pleasure. I am glad you liked it. Path analysis is also regression analysis.

[@anamfatima1851]

Best explanation of Explaining and reporting Regression I have seen so far, it was really very helpful, my coursework is due in a few days and was struggling to interpret data and reporting it. I still have a question, I have precieved stress as DV and 3 IVs which are, coping styles, Personality and Social Support, the coping style has subcategories as avoidant, emotional foccused and problem foccused, similarly personality has 5 subcategories, I have put all these subcategories separately while running the regression Analysis, so Altogether my list of IVs has become 9. And I am running multiple regression ofcourse. So, my question here is, do I need to compute sum of all subcategories into one like for personality, the sum of all 5 subcategories into one and similarly for coping, sum of all three categories into 1. Kind regards.

[@researchwithfawad]

First, thanks for your appreciation. I am glad the video helped.
As for transforming Personality, I would say No, Some variables with sub-categories may be transformed because the sub-categories are very much alike and highly correlated. for Personality, different personalities are far apart from each other and hence, in my opinion that should be kept and analyzed separately.

[@arjunk.8447]

V h 🤤

[@arjunk.8447]

🥵

[@varunwadikar289]

while writing the interpretation when should we consider r2 value and adjusted r2 value. like under which scenarios it has to be taken ?

[@fad4150]

👍🏾

[@researchwithfawad]

Thanks. I am glad you liked it.

[@UnKnownGK]

Great and detailed video!
My question: My questionnaire has to do with how many times per month you attend a live concert.
Apart from the needed answer in a number form, there are also the data: 'not in universe', 'don't know' etc.
Should I create a dummy for my dependent variable so that I can only take into account the people who responded with a number data?

[@researchwithfawad]

Not in Universe or Dont Know, are they under the same question where you are asking a number as well.

[@UnKnownGK]

@@researchwithfawad I am not sure i follow..sorry

[@researchwithfawad]

So you question
How many times per month you attend a live concert?
What are the option in that question?
Is this your DV?
You can also email me on [e-mail]

[@binjushakya2903]

Thank you sir. This is the best video i have watched . have watched your other videos too. it was highly useful. Sir can you please help? what r square value should I put in each independent variable while doing multiple regression? Please answer.

[@researchwithfawad]

Thanks. I am glad you liked it. R-sq is not for each IV, it is for DV.

[@binjushakya2903]

@@researchwithfawad Thank You so much sir. Appreciate your prompt response. Glad to have found a teacher like you.

[@TruifleWatfrlo]

A very nice video. Just one question: Will we use the mean or total (sum) of the variable to put it in?

[@researchwithfawad]

Thanks for watching. Please use Mean Score.

[@jamesleleji6984]

Great Video. Please how do you do difference in differences using SPSS

[@researchwithfawad]

Thanks. If you would like to asses differences in groups you can use Independent Sample T Test or One Way ANOVA

[@gardeh_nyepudologarteh4811]

Thanks for the video. However, I am confused about how the variables are plugged in. For example, in ordere to measure the strength of the relationship between independent and dependent variable, I would like to know how the questionnaire was structured

[@researchwithfawad]

Thanks.
To learn to search and design a questionnaire, watch
Questionnaire Design and Development: ruclips.net/p/PLb7vm6tsQ3KuyCQISk3RGGGUmrPyQQhws

[@nailafirdous6770]

Thank you Sir..Very clear to understand..I have a question..what if R square is very small..around 5%..is there any issue or is it normal

[@researchwithfawad]

It is low. However, check for significance of results.

[@imanejai6953]

Thank you for the explanation, i have a question. When I conduct simple linear regression analysis i got different results from when i conduct multiple regression analysis. Can you explain why?

[@researchwithfawad]

Thanks for watching. This will happen as there are other variables explaining the variance in the dependent variable. One variable may overshadow the impact of other.

[@jackiewong6256]

Thank you so much Sir! Your explanation is really helpful. However, I've got a question, can I run linear regression as same as your case if all my variables are ordinal ? Thanks again!

[@researchwithfawad]

Thanks. I am glad you liked it. If your variables are manifest variables, that is a single item with likert scale, use Ordinal Regression.

[@jackiewong6256]

@@researchwithfawad Thank you so much Sir! However, do you have other videos that show the interpretation for ordinal regression? I'm quite confused with it but I have to do this for my dissertation. Thank you very much! 😀

[@researchwithfawad]

I am afraid not yet. Hopefully i can make one soon.

[@HunnieeGuven]

Hi my P value is

[@researchwithfawad]

When p value is less than 0.05, this keans significant relationship. The sign with beta value shows direction of relationship.

[@ekpenyongudofia9459]

great video. Please, explain to me why the t-value was compared to 1.96? why that figure, and where did it originate from? cos i can't seem to find it in the tables generated by the regression in this lesson

[@researchwithfawad]

Thanks.
In simple terms, T statistics is a cut off value to assess whether or not a particular hypothesis is supported or not. Greater than 1.96 for a two tailed test shows hypothesis is supported.

[@annmoraa7217]

@@researchwithfawad Hello, thanks for clarifying this I was also lost. But what if the value is a negative e.g - 2.735

[@contessaa1671]

Hello thank you so much for your very clear video. I am trying to run an analysis on a dependent variable that changes over a span of 2 years while I analyse the effect of two independent variables on the dependent variable. (depression at baseline is 100%, changes in depression after 2 years) I think i need to correct the dependent variable at baseline before I start my analysis but I don't know how. HELP please!!!!

[@researchwithfawad]

I am glad you liked it. It is curve modelling. You should search for Curve Model in SPSS, or better to use Latent Group Curve Modelling in IBM SPSS AMOS

[@khairinkhalida9671]

Hello again. May i ask whether hypotheses is accepted if the beta coefficient is

[@researchwithfawad]

A hypothesis is accepted, if the P Value is Less than 0.05. In your case, all hypothesis are accepted.

[@khairinkhalida9671]

@@researchwithfawad Thank you again for your assistance! Appreciate it a lot.

[@snehahiremath1685]

Sir please make a video on Stepwise Regression Analysis.

[@researchwithfawad]

Thanks for your interest. Hopefully soon.

[@mutiullahkhan9583]

Thanku so much!
Can we do graphical representation of this table? If yes, plz explain?

[@researchwithfawad]

Pleasure. I am glad you liked it. You can design a scatter plot for graphical representation.

[@intelligencemaximum3746]

5 star ⭐😊

[@researchwithfawad]

Thanks for watching.

[@mathilda333]

Hello Thank you so much for this helpful video, I am conducting a bivariate regression and I have a question of where the F(1, 219) came from? The one explains that only one IV was used but where is the 219 coming from?

[@researchwithfawad]

Thanks. I am glad you liked it. Please refer to the residual in the ANOVA table.

[@mathilda333]

@@researchwithfawad thank you very much for your answer! I have conducted a graph to my regression analysis and my fitted regression model looks like this Y=4.24E2 + 1.18*x. Do you know by chance what the E2 stands for?

[@researchwithfawad]

4.24 here is the constant, this means that if your X is 0, the value of Y would be 4.24

[@academicws3765]

Please I need some help.
What statistical tool will you use to analyse housing affordability to income in mortgage financing?

[@researchwithfawad]

It depends on the hypothesis proposed. How the variables are measured and related to each other.

[@zxcvbnm5204]

Hi, I am doing a simple regression analysis and I was just wondering if I need to look at the ANOVA table?

[@researchwithfawad]

Well you do need it for df and f statistics

[@universallyunique5334]

Hello, thank you for the video. Should a test for normality be conducted before linear regression is done or its not required?

[@researchwithfawad]

Pleasure. I am glad you liked it. Better to check using Skewness and Kurtosis

[@sawsandandachy7382]

🎉🎉🎉❤❤❤

[@researchwithfawad]

Thanks

[@samritabhatta9353]

I have a question Sir, When we run multiple regression analysis, are there two r square values or just one r sqaure value?

[@researchwithfawad]

you can use r square, not the adjusted one.

[@sweetydeswal8014]

I want to know tha impact of marketing mix factors on consumer buying behaviour.which test i shouls use?

[@researchwithfawad]

Use Regression

[@snehahiremath1685]

I have five independent variables like EO, ESK, ET, EM and EE and one dependent variable that is Entrepreneurial Intention, please suggest which all analysis can be done.
Thanks in advance

[@researchwithfawad]

If the variables are continuous, go for regression analysis

[@snehahiremath1685]

@@researchwithfawad EO has 14 items, ESK has 12 items, ET has 16 items, EM has 18 items and EE has 10 items. And I have used 5 point likert scale for all the items.

[@researchwithfawad]

Yes you can use multiple regression. If the scales have sub dimensions, why not go for smartpls

[@snehahiremath1685]

@@researchwithfawad thank you very much sir. Your video cleared my doubts and your suggestions surely will help me.

[@researchsupervisor3687]

Sir..
Plz explain if the Beta value is negative...what should I interpret with this...

[@researchwithfawad]

A negative beta means negative relationship between the two variables. This means an increase in one results in decrease in the other.

[@user-fm2xq6to7l]

Sir, dont we have to report the t-value in the results at all if there is one iv and one dv?

[@researchwithfawad]

Yes you can report.

[@rymchannel7102]

Hello sir, thank you so much for this great video. I got a question, after I've done the multiple regression for wages and gender using spss, I got wages as DV, and iver IV, the results of the regression with one of the IV was: Nonwhite (unstanderdized coifficient: B) -0,188 unstanderdized coifficient: SD 0,070 (Standardised coifficient Beta) -0,114 t -2,669 sig. 0,008 How can I interprete and report them? especially as they have MINUS (-). I got really confused.

[@researchwithfawad]

If Sig is less than .05 then the effects are significant.
Negative sign indicates a negative effect. However if your IV is dummy the interpretation slightly changes. See video on dummy variables im spss on the channel please

[@rymchannel7102]

@@researchwithfawad Thank you so much for your reply and help. I will watch the video for sure

[@dakshayaenibharadwaj2185]

hello sir, if my data is ordinal, will spss compute anoa or kruskal-wallis?
because anova might not give accurate results?

[@researchwithfawad]

If you are looking to test differences in groups and the DV is ordinal Kruskal Wallis.