Multiple Regression - SPSS (part 1)

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  • Опубликовано: 21 авг 2024
  • I demonstrate how to perform a multiple regression in SPSS. This is the in-depth video series. I cover all of the main elements of a multiple regression analysis, including multiple R, R squared, model development (via stepwise method), intercept, unstandardized beta weights, standardized beta weights, semi-partial correlation, standard errors, as well as basic heteroscedasticity tests.

Комментарии • 71

  • @mikifiki01
    @mikifiki01 8 лет назад +84

    Dude great video but next time could you choose an easier example please?:)

  • @nurgalitaukel229
    @nurgalitaukel229 5 лет назад +9

    Thank you for the in detail video about multiple regression! What method would be appropriate to use if there are multiple dependent variables (continious)? The objective of the study is to find a relationship.

    • @thepovcastuk
      @thepovcastuk 11 месяцев назад

      what was the answer to this question i would also like to know :)

  • @MissMerryP
    @MissMerryP 8 лет назад +1

    I love you! You explained all the different analisys I needed in two hours. :D Thanks for saving my semester!

  • @Avalance0317
    @Avalance0317 8 лет назад

    Thank you very very much,I have watch a lot of your videos and they are very useful,I don't need to read through the manual which is few hundred pages.Thank you sir.

  • @TheJYCman
    @TheJYCman 9 лет назад +17

    you are a legend

  • @jamesgulnick6439
    @jamesgulnick6439 10 лет назад

    Thank you for helping me through my course. I am following your examples and they have been a great help. Thanks for your posts!!!

  • @MsFreeloo
    @MsFreeloo 12 лет назад

    Thanks for posting all these explanatory videos. They are great!

  • @simonastamate3883
    @simonastamate3883 6 месяцев назад

    Thank you - your videos are so clear and usefull

  • @how2stats
    @how2stats  11 лет назад +1

    I've just uploaded a new video series on hierarchical regression within SPSS.

  • @marvinchia-hanyeh1733
    @marvinchia-hanyeh1733 5 лет назад

    You are a godsend. Learned a lot it your courses.

  • @Shalom-tk5di
    @Shalom-tk5di 3 года назад +1

    Thank u soo much sir 🙏🏼.its really helps me lot 👍

  • @how2stats
    @how2stats  11 лет назад

    It means that those variables do not contribute to the regression equation in a unique and statistically significant way. Basically, the variables you are adding in the second block are probably correlated with your variables in the first block, so their unique contribution is diminished, in this case to non-significance.

  • @keroine9
    @keroine9 12 лет назад

    Your videos are excellent.

  • @EMChantalG
    @EMChantalG 9 месяцев назад

    Wow, very impressive!

  • @systerwoody
    @systerwoody 11 лет назад

    I'm renaming you my Stats-Angel. Keep up the good work & keep the clips coming. If only the instructor would explain these steps as well as you do! Replay helps. Thank you!

  • @mtardg8089
    @mtardg8089 8 лет назад +2

    What statistical model do you use, if the dependent variable is not continuous and is a dichotomous variable. In this example the independent variables are continuous. Thank you.

    • @EllatV100
      @EllatV100 7 лет назад +2

      binary logistic regression analysis is used when you have a dichotomous variable

  • @wahidsafi1732
    @wahidsafi1732 3 года назад

    Informative sir.

  • @abdullahzaawari9801
    @abdullahzaawari9801 2 года назад

    Finding this useful in 2022

  • @bravulo
    @bravulo 8 лет назад +1

    Great! Now, what do I do, if some variables follow linear model, while other variables follow a quadratic pattern, and another one fits an exponential model? How to obtain one single formula? Is this at all possible?

  • @knowledge9822
    @knowledge9822 6 лет назад +1

    Hi, if you had information for 4 different years in your dependent variable and you're only interested in one of the years, how would your determine that in SPSS? thanks

  • @statisticslearning
    @statisticslearning 8 месяцев назад

    Very good

  • @eduardomurillo9023
    @eduardomurillo9023 10 лет назад

    Hello. First of all, thanks for those nice explanations :) I still have a doubt (i'm actually struggling with that one): I carried out a multiple linear regression and the residuals were not normally distributed, i transformed the dependent variable but the residuals are still not normally distributed. What do you recommend to do then?

  • @MrRodrigo606
    @MrRodrigo606 4 года назад

    Hi, could you please talk more about how to choose the method to run a regression analysis (enter vs stepwise)? Thanks!

  • @CH3COOHpt
    @CH3COOHpt 10 лет назад

    Hi there, i found your post very ellucidative. I wonder if you could present examples when you have complications along the way, e.g. your R=1, or when your Dependent variable (y) does not meet normality assumptions? Thank you

  • @ItsmsMA
    @ItsmsMA 10 лет назад +1

    Awesome! Thank you so much for sharing, you are a star, God bless.

  • @mazharsoufi5270
    @mazharsoufi5270 4 года назад

    terrfiic thank you so much. Just have a question: when we control for variables on multivairable analysis for clinical data.. what exactly does the software do? eliminating those patients? in other words the more variables you control for the smaller the sample size really? thanks again

  • @yalcnacikgoz5022
    @yalcnacikgoz5022 10 лет назад

    Nicely done - thanks!

  • @shahinhossen6696
    @shahinhossen6696 2 года назад

    What to do when 5 dependent variables and 1 independent variable?

  • @atiqahismailove
    @atiqahismailove 12 лет назад

    Thank you so much for this. And I cannot find your hierarchical multiple regression video, do you have it?

  • @zaeemgreat
    @zaeemgreat 2 года назад

    Is it necessary to calculate log value of each and every variable before running multiple regression analysis?

  • @bilbaobaggins8392
    @bilbaobaggins8392 11 лет назад

    In the first "block" certain predictor variables were found to be significant, but in the next block as I added in more variables, the previously significant variable(s) became insignificant due to the effect of the new variables. How do I interpret what this represents?
    Thanks.

  • @rl3065
    @rl3065 11 лет назад

    very helpful videos.
    I am working on a study where I take reading of both eyes of people. it is known there is strong correlation between both eyes. so then cases now are not ind pendant. can use average of both eyes? how can cluster data by person?

  • @pratishthapal449
    @pratishthapal449 Год назад

    Hey, I wanted to know if I were to carry out a multiple regression analysis in SPSS where pyschographic as a construct consists of multiple variables and it's affect on buying behaviour of the people, how can SPSS measure the pyschographic factors?

  • @marlakoundinya
    @marlakoundinya 7 лет назад

    Hello, I have a doubt in my analysis. I have two independent variables and one dependent variable what I have done is Multiple regression between them and found that one of the independent variable is significant with the dependent variable, no I want to calculate how much percentage of independent variable is effecting dependent variable. Is there any way to calculate percentage from beta value obtained.

  • @ferryt2544
    @ferryt2544 4 года назад

    Thanks dude!

  • @MountainRaven1960
    @MountainRaven1960 10 лет назад

    Could you do these clips in a higher resolution? They tend to come out a bit fuzzy visually?

    • @how2stats
      @how2stats  10 лет назад +1

      some of the older videos were not recorded in HD; however, you can adjust the quality somewhat by setting the quality of the stream to its highest level; click on the setting icon on the bottom right corner of the youtube video window; you'll see that you can increase the quality to 480p; why youtube doesn't automatically do that, I don't know.

    • @MountainRaven1960
      @MountainRaven1960 3 года назад

      Me 7 years later. Fixed the problem....... got a better iPad 7 years later.

  • @kpeiman1
    @kpeiman1 12 лет назад

    thank you so much.

  • @watksw
    @watksw 11 лет назад

    Thank you so

  • @loashley1411
    @loashley1411 12 лет назад

    very useful!

  • @HGZie
    @HGZie 2 года назад

    Could you enable CC? I'm hard of hearing.

  • @watksw
    @watksw 11 лет назад

    Thank you so much

  • @shaliniarya9648
    @shaliniarya9648 3 года назад

    I have multiple dependent and one independent. Then what test should I apply. My data is not in likert scale only.

    • @how2stats
      @how2stats  3 года назад

      Depends on your hypothesis. My immediate answer would be Canonical Correlation analysis. You can do it in SPSS via the menu options these days.

  • @bdpatton2
    @bdpatton2 6 лет назад

    you should upload your excel data so we can walk through the analysis with you

  • @user-hj8wd2dt1u
    @user-hj8wd2dt1u 10 лет назад

    very helpful. thx a lots xx

  • @aaronjacobfox4612
    @aaronjacobfox4612 4 года назад

    is Multiple Regression and Double Linear the same?

    • @how2stats
      @how2stats  4 года назад

      Never heard of 'double linear' before.

  • @sabrayahya89
    @sabrayahya89 4 года назад

    was helpful..

  • @lakithamaratunga7423
    @lakithamaratunga7423 2 года назад

    🙏❤️

  • @tillymonster9992
    @tillymonster9992 10 лет назад

    Would you be able to tell me how to do the multiple regression on only half my data? Like I want to exclude all males and then all females. I have them coded as 1 and 2. Basically I want my analysis done on each gender separately???

    • @mananpareekMD
      @mananpareekMD 10 лет назад

      Go to data -> split file. Split according to your gender variable and sort the file.

    • @maqlab
      @maqlab 9 лет назад

      Have you considered hierarchical regression analysis?

    • @strawberryseason
      @strawberryseason 9 лет назад

      You can do a recoding, giving the males a value = to missing values. Do you know how to recode?

    • @yasserbouklouch350
      @yasserbouklouch350 9 лет назад

      strawberryseason selecting the cases you want is much easier and doesn't effect the dataset (it can be cancelled anytime)... to do it, do to Data>select cases

    • @mod_5297
      @mod_5297 7 лет назад +1

      Split file on gender before doing the regression probably most efficient way. But have you considered that gender might be an important independent variable? In which case you would not want to run 2 separate lots of regression.

  • @vinsavi
    @vinsavi 10 лет назад

    What is premium discount?

  • @gulnaz426
    @gulnaz426 6 лет назад

    hello. thank for the video. I have got a question regarding missing values in spss. I need to do linear regression (OLS) analysis with so many missing data. how can I analyze regression model with correctly filled missing data?

  • @user-og5bo7qi3h
    @user-og5bo7qi3h 4 года назад

    hello, can i ask you a question?

  • @nazanintangestani3907
    @nazanintangestani3907 5 лет назад

    i did not get the analysis

  • @undbiter65
    @undbiter65 7 лет назад

    anyone else think he sounds like a young ben affleck?

  • @VD-vv1qn
    @VD-vv1qn Год назад

    slay

  • @Prof_Vik_M
    @Prof_Vik_M 4 года назад

    The data used for the example is very confusing for an already complex statistical calculation. Please use an easier example next time. This confused me more than help me. Sorry.

  • @rioloves1590
    @rioloves1590 5 лет назад +1

    This was helpful, however I would suggest not being so close to the mic and maybe drinking water, the sounds made me mute the video within the first minute.