How to do Simple Linear Regression in SPSS (14-5)

[@elizabethswartz9084]

Can we please nominate this KZbinr for a Humanitarian Award? You are literally saving my dissertation. Thank you!

[@ResearchByDesign]

You are so kind. Thank you for the comment and the email. I am very glad that you are getting the most out of the channel. Best of luck with the rest of the dissertation.

[@finspatheticchannel1224]

amazing video, saved my essay. 9k a year for this course yet this video outclasses all resources ive been given. You have my genuine thanks

[@ylniles]

honestly i don't know what i'd have done if i didn't discover your channel. I now understand these topics better since i am not good at statistics. Thank you so much for your explanations and breakdown its easy to follow and very helpful. I now have a little more confidence when it comes to statistics

[@ResearchByDesign]

So happy to hear that. Glad that the videos were helpful to you and thanks for commenting.

[@estherbrowne2017]

This is the last topic for my research… lost for 2 days on how to do a simple one and i didnt sleep till morning trying to search how to do it .. thank you for this method.. simple and easy to understand..save my time 🙏🙏🙏🙏🙏

[@edbicknell4170]

Without a doubt the best video series on SPSS.

[@thomasfogarty2320]

I am a 2nd year marketing student, cheers for the video! No one else explained it as deep but as efficiently as you did, thanks. From Australia.

[@ResearchByDesign]

Excellent...very happy to hear that. Glad that you found the explanation helpful.

[@evanyin9379]

man, just want to say this is a great video, thank you so much, this just made everything so clear

[@carlospadilla6356]

Perfect class Todd! You are an excelent statictics teacher. Greetings from Brazil

[@ResearchByDesign]

Thank you, sir...and greetings from Missouri, USA to you. Probably much warmer where you are, right now.

[@kalukeru]

Best video i have ever seen on data interpretation.

[@ResearchByDesign]

Thank you for that comment. Very much appreciated!

[@adibazebin735]

Thank you so much, sir, for such an easier explanation. It makes more sense than all other videos. Everyone just tries to make it harder whereas, I appreciate the way you made it much simpler. Extremely thankful for all your efforts to make these videos. You made stat much easier than I ever thought!

[@ResearchByDesign]

You are most welcome. I remember when I was a student and I just wanted someone to explain it to me simply. Glad to be of help

[@elizabethjablonski3320]

Love these comments! haha yes I would vote for this guy! He has made it "easy" to understand as I struggle with my Chapter 4

[@nkato7400]

One of the best vids I found on youtube. Thank you sir

[@ResearchByDesign]

So grateful to hear it. Thanks for the comment.

[@kostaskaisis2956]

7:24 "it's almost like I planned it that way" 😄

[@samirahabibi6629]

j me suis trouvé devant l'encrant en regardant ton explication tu es magnifique j'ai bien assimiler le cours je te remercie de

[@reyoflight2458]

Wow! These videos really break down SPSS and makes it so much easier to understand . Thank you! :)

[@ujjanimukhopadhyay8359]

Excellent explanation...can you please let me know how categorical variables ( both dep and indep var) are to be analyzed? Do we use only t test and ANOVA ? Please help

[@a.ikirindage1565]

Very helpfull this video my BSc research

[@jackrow6234]

So amazing! Clear and easy to learn!

[@ResearchByDesign]

Happy to hear that!

[@JordanReed1]

13:58 "Is it all starting to make sense now?" No, but go ahead

[@nafisimtiazhossain9335]

hahaha same to me

[@kimdinnie]

me right now

[@Nikolromieri]

Thank you for your help!! I got a 0.055 with a little "b" on top of the last 5, I am confused on what that means and if the ANOVA is significant.

[@charlesyamoah5417]

DEAR, thank you for your tutorial. I suggest you make available the data of example for the audience. This will help us follow effectively

[@ResearchByDesign]

Working on that now. All of the data sets will be available on the RStats website. We are in the midst of reworking the site. Thanks

[@bdpatton2]

Not seeing it on the website... could you copy URL?

[@RaihanJamil]

It would be great if you could provide links to other videos when you mention them in current video(s).

[@ResearchByDesign]

That is an excellent suggestion. I originally posted these for a stats class, but now would be the time to go back and improve the ability to get to the next vdeo.

[@khadidjabelmouhoub4324]

how did you calculate job satisfaction and burnout please? did you use the sum or the mean?

[@DramaNetSeries-b4d]

Dear Dr , please how to write assumptions for the thesis, I hope you check the comments on your old videos

[@gaoyuqian001]

Thank you so much for the tutorial! I tried it and everything went through smoothly except for the Dubin Watson analysis. The result showed 0.23 which is below the normal indicator 1 to 3. Would you please add additional notes on how to fix it? Thank you very much!

[@GOSPEL276]

Hi dr Todd... Is it possible to put the prediction interval lines in the chart as well and also the line for 95% confidence interval?

[@jlobana5801]

Excellent session on regression!

[@surakshyadhakal49]

Your regression coefficient is negative but your correlation coefficient indicate the relation is positive. Can you please interpret it?

[@Alexa-bd7pn]

Very helpful! Thanks for this!

[@ResearchByDesign]

You're welcome!

[@sbmarafon]

Great! !You are the best. Thank you

[@ResearchByDesign]

Thank you too!

[@barnadeep_das]

How use likert scale data in linear regression? Like in my questionnaire there is 10 questions 1. You are getting quality service from your institute. a)disagree b) neutral c) agree. Like that there are 9 more questions, How to plot this questionaries in linear regression. please help me out sir i am close to my deadline

[@benedictcyril8409]

thank you sir, the tutorial is extremely useful. am following your page for the past month. i have a request, kindly make the data sets available, so that we can practice it. again, thank you for the lectures

[@badalyanarman5924]

Very informative. Thanks a lot.

[@kamalbohara2277]

Very good !!

[@weihuang6207]

very helpful. thank you

[@OLB_2024]

how did you get the y equation on the line i cant see it on my spss

[@amyholliday5719]

Very useful, thank you!

[@ResearchByDesign]

Glad it was helpful!

[@hamidsh4789]

Excellent. Thanks. What if Durbin Watson number is less than 1. In my case 0.005?

[@ResearchByDesign]

The Durbin-Watson less than 1 would indicate residual errors are auto correlated (not independent) - if you have correlated errors you cannot use multiple regression. You may be able to use an alternative such as time-series analysis. Sorry to be the bearer of bad news. Good luck

[@hamidsh4789]

@@ResearchByDesign Ok. Thanks...

[@daledeneal4236]

Dr. Daniel, you mentioned at the end of this video that the next video would deal with reviewing how to interpret regression output. I don't see that video. Could you provide me with some direction on where to find it? Thank you, Dale

[@ResearchByDesign]

Hi Dale. I am going to post two PDFs in my google folder (link in the channel art). One is for simple linear regression and the other is for multiple regression. Both use the JobSatisfaction.sav dataset in this video (and also available in the folder). Those will walk you through the SPSS output, how to interpret, and how to do the APA write-up. Check that folder in a few hours and you will find them. Thanks!

[@daledeneal4236]

@@ResearchByDesign Thank you, Dr Daniel. I will look for those PDFs in your Google folder. I so appreciate your help! - Dale

[@penny767]

Love this video!

[@suksuk602]

Awesome!

[@dietwithseemin5163]

Excellent

[@grouse6]

Fantastic video.

[@ResearchByDesign]

Thank you very much!

[@AlizaElisheva]

Hello, What should I do if I am working with ordinal variables? Should I convert them to scale variables?

[@ResearchByDesign]

There is an option for Ordinal regression. I'd recommend Laerd Statistics as a starting point. They have wonderful, detailed tutorials. I'd recommend against treating an ordinal variable as scale unless you have multiple items, each on a 5-point Likert scale, that can be averaged to form a sub scale. Then you could treat that aggregate score as scale. Good luck.

[@AlizaElisheva]

@@ResearchByDesign Will do. Thank you very much.

[@paulstutorialsdr.mohammada6974]

very good one . Thanks

[@hojanyang7109]

Hi, how do we run linear regression if I have a continuous dependent variable and categorical independent variable? Thanks.

[@ResearchByDesign]

Depending on the specifics, you would do a t-test or an ANOVA. It's the same math, actually, just a different test. Good luck

[@syedzohaibiqbalzaidi]

Dear, thank you for that video but in the end you say that their will be another whole video on reviewing the interpretation of regression analysis. Please develop that as well as i checked and did not found it

[@ShahidIqbal-xv6fo]

sir plz make video on logistic regression it is badly needed by you thanks

[@ResearchByDesign]

I do have logistic regression on the schedule for fall semester. I'll be doing a series on regression techniques. Thanks for asking about them.

[@tarekegngirma699]

Such a brief video but what else if we have more than one predictor variable

[@ResearchByDesign]

More than one predictor is a multiple regression. I don't have a full video yet, but I did talk about it in a class lecture: kzbin.info/www/bejne/n3u6n2N6ncmYq9U

[@getenetteklewold2123]

impressive!

[@grouse6]

what if my constant under coefficient a is not significant (t = 1.274, sig. .205?

[@ResearchByDesign]

The constant does not have to be significant (although if it is ns, be sure to check whether the entire model is significant). If so, and your b value is significant, then you can report the findings as model that significantly predicts the outcome variable.

[@grouse6]

@@ResearchByDesign Thank you very much. I appreciate the time it's has taken you to develop this video and answering my question.

[@grouse6]

@@ResearchByDesign I have one other question. For the purpose of conducting regression, is it necessary to adjust all outliers (small circles) or just extreme ouliers (small stars)? In an earlier T-test I was advised from my university to just remove extreme outliers. However, after watching your videos it may be a mistake to do so for regression. My residual numbers are more than 3.29. Thanks you.

[@goatmalavi2659]

Statistics made easy

[@aaronjacobfox4612]

Yeah Cool

[@roslyndougan8046]

is it all starting to make sense now? Me: 0_0

[@roslyndougan8046]

it does make more sense better than in lectures

[@ishratrehman9309]

Sir how we can find quality of life by using WHOQOL-BREF in SPSS