Interpreting Output for Multiple Regression in SPSS
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- เผยแพร่เมื่อ 6 ก.ย. 2024
- This video demonstrates how to interpret multiple regression output in SPSS. This example includes two predictor variables and one outcome variable. Unstandardized and standardized coefficients are reviewed.
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This man out here single handedly saving my degree
There was a lot of multiple regression in spss videos. but this is the only video that explains this clearly. this helped me a lot. thank you so much. I really appreciate it.
Wow, thank you so much. I have always liked your narcissist videos and was shocked to see you has the first TH-cam result for "How to read coefficients of a regression" to help me with my Grad School paper. Thanks again. :)
You made me 99% more confident after watching your video. Thank you.
My prof has been covering this in my stats class and I've been so confused until now! thank you so much, it was super helpful!!
You're welcome - thanks for watching -
OH MY GOD! I WATCH YOUR PSYCHOLOGICAL ANALYSES YOU POST NOW!! FULL CIRCLEEEE
Thanks a lot for this video. I am a PhD candidate who have used you video to analyse your data
This is excellent. Thank you for your kindness in putting it up!
Thank you Dr. Todd. I barely understand this in class but watching your videos make it so much easier.
You're welcome!
Clear explanation, helped me a lot for my master's dissertation, thanks!
Thank you so much Dr Grande. This helped me to complete my Analytics exams for my Masters. Thanks a lot again. Cheers.
You are welcome. I'm glad the video helped you.
Thank you! This is was very clear and informative.
Thank you so much for the clear explanation. This helped me a lot. (y)
Thank you for the insight😃 Dr Grande
Thank you for this video. I'm currently doing my dissertation and all of your videos related to the SPSS have helped me a lot. I have one doubt: I have 4 independent variables(Green marketing mix elements) and 1 dependent variable (consumer purchase intention). While performing correlation and regression for all the elements of the green marketing mix and consumer purchase intention together, there is a contradiction for the variable “Green Place” in terms of positive and negative relations. For regression, I followed the "Enter" method.
Green Place with consumer purchase intention: r=0.531, p-value=
very good explanation of the value of each variable.
How come you tubers explain it better than my actual teacher?
Shokran ! Thanks
Interpretation was always a challenge to me. I used to do these steps mechanically
Thank you for clarifying the doubts. Kindly help me in understanding how to run multiple regression analysis (hierarchical stepwise) with 2 predictors and 3 criterion/outcome variables
Very well explained, thank you so much.
Thank you. Sir can u please upload a video on survival analysis (kaplan meir and Cox regression)
Dr. Todd u save my degree
Thank you lady 😊 helps lots
Thank you so much. This is so helpful to make my assignments.
Thanks, as usual, for another great video. Any chance of getting an explanation of adjusting variables by case population, and how to interpret? For example, comparing outputs of preschools with varying enrollment levels.
parts of a computer lesson for kids
parts of a computer lesson for kids
You made easy for me to understand. Thank you!
Do you use JASP at all? If so please upload some videos.
Output explained are the most valuable vids! Are you able to show annoted outputs at all or APA write ups for reports?
Very helpful! Answered all my questions! Thank you so much! ❤️
Very well explained, thank you so much! I deeply appreciate your videos.
Thank you very much! Great video. Can is use multiple regression for any kind of variable combination (e.g. nominal & nominal, nominal & ordinal, etc.)?
you saved my stats life thank you
You're welcome!
Dear Dr. Thank you
Quick question: when explaining the unstandardized beta coefficients, one unit change in one IV produces a certain change in the DV when the other IV remains *constant*, correct? And this stems from the estimated multiple regression equation
Actually very helpful. Keep it up
Thank you so much for this lecture one more thing I want to ask that is it necessary for all predicted values to have same units??
I mean if two independent variables have same units as the dependent variable but one independent variable have different unit then can we perform the multiple regression analysis??
Thank you for all of your video, really helpful, i have a question , in my analysis the constant is not significant but some variable are ,so what does it mean?
How to interpret a significant negative beta when the alternative hypothesis is positive? Thank you...
Dr Todd, thanks, pretty good explanation. what type of regression should I do when i have multiple outcome variable?
If the p value for the model as a whole is not significant but one the indeoendent variable is significant, can I still report the results of that independent variable?
Indeed, a very helpful video ! Thank you !!
Going into candidacy comps and this literally saved my life! Thanks!
You're welcome!
so like t column is just a ration of unstandardized coef, so when interpret it is not very important as the other column?
Hi Dr. Todd! I hope you're still reading comments here. Im really confused about how many interraters should we need if we only have 2 research assistants to do the actual observation to subjects during data collection? Do we need to add a few experts to join the simultaneous interrater observation in the testing of the tool to strengthen the power of my paper, but the additional experts wont be part of the actual data collection. Then my next question is, how many times do we need to do the interrater reliability testing, and do we need to use the same subject for observation or another subject if we are to repeat the interrater reliability testing? Thank you very much Doctor Todd!
So which of the independent variables is a stronger predictor of the dependent variable ? Do we report the negative which has higher Std. coefficients or we report the positive one because it is positive ?
Dear Dr. Grande, can you kindly help me? I have problem with the interpretation of my multiple regression results.
Dear Dr. Grande thank for the helpful video. But I have a question in the interpretation of Career limitation that is the 95% confidence interval includes the null hypothesis of no difference" 1" please elaborate it
Thank you !!
Would you the constant value too or is that not interesting to discuss?
Very informative, thank you.
how to interpret likert scale in multiple regression.
Thanks for the video! I just have a quick question. My Dependent variable only has values of 1 or 2. Would I still be able to this in the same way or should I use dummy variables?
Thanks! This helped!
Thank you so much. This is so helpful to make my project
This was pretty helpful. Once I am able to be hands on and conduct the analysis on SPSS I will be able to report out results clearly
How can we transform the sub-items of variables into one item for regression?
this is great sir. Thank you
The explanation look good thanks a lot
if I code nominal data into numeric for example 1. NY 2. Tokyo 3. Paris; then can it be used in multiple linear regression?? and if I can how to interpret the result?
Yesss
Thanks, just want to know if possible to make a video on how to interpret the coefficient table of the longitidunal studies. I mean a predictor at Time 2.
Sir I want to know if the 22.23 estimate standard error is acceptable or not.
Hello Dr. Grande, your videos are great. I have a more specific question though. I have 7 different Likert scales consisting of several Likert items. The scales are about different concepts and measuring consumers attitudes or behavior. I checked for Cronbach's alpha, and all scales are above .70. So I can compute new variables. Should I use the median or mode when computing new variables? My other question is, is it okay to do multiple regression analysis where one scale is the dependent variable and the rest independent?
Hello. I have a monitoring dataset with over 6 independent variables which are all categorical and contain partially up to 10 different levels. I'd like to perform a multiple linear regression and suppose that I have to create dummy variables, correct? But that in turn would lead to up to 10 different columns for each independent variable and in consequence, I could not check the overall contribution of each variable itself. I am using SPSS and don't know how to overcome this obstacle. Thanks in advance for your help.
What if I want to run a two-tailed test? Does it do that automatically? It looks like your correlations defaulted to a one-tailed test.
how would you report the statistical equation for this output?
That's great Dr. thanks so much. Plz i need your help to use regression analysis to find out the impact of fringe benefits on job satisfaction and employee engagement. Plz my dependent variables are employee engagement and job satisfaction. I have 14 questions under E.E, 10 under J.S, AND 15 questions under Fringe benefits. Plz how to use regression analysis in this case to find out the impact of fringe benefits on employee engagement and the impact of fringe benefits on Job satisfaction?. plz i need your help. Thanks Dr
i am comparing the yields and income of farmers who are members of farmers groups and those who are not. Please which statistical method can i use?
Sir..
Can you give a example how to write this result in journal paper?
Thank you sir this is help full for me
A candidate of phd
You’re welcome!
Thank you😊
All the comments saying this helped them for their masters class…here I am studying for an exam in my second semester SOPHOMORE Marketing degree😭😭😭😭
Thank you, this is great
Excellent
Gosh, you're amazing! Thank you!
You're welcome!
Thank you where can we get the dataset for this?
Thank you Dr. Todd
How exact can I predict the days when I know the limitations and experience of a person? An outcome of 88,345 days would be to exact I would think, because of the standard errors. How would I make this prediction?
I need help with the interpretation of my multiple regression results; is there any way we can reach you. please.
Can you use ID, i.e. population as an independent variable?
Hey does anyone know how to state least squares estimate of model using spss and explain each terms in model
great video. succinct delivery
I'm glad you found it helpful - thanks for watching -
Hi sir
it is an urgent question
I have a linear model in this form'
y=b0+ b1 C+b2 P+ b3 CP
I know who to create linear regression model for the above but my question about the addition of the fourth term
can I consider this as an independent variable similar to C and P and then compute CP. Is that possible or not, please?
can someone explain what is the F value on the ANOVA table means?
I have found a significant value in the ANOVA table (0.024) but not any significant values in the coefficients table (0.054 and 0.132) what does this say?
this means a relationship does exist (because anova has a p value less than .05 means that the regression line is not linear/ not zero). the coefficient value tells the amount of relationship. this means there is a relationship between your variables but that is very weak. 0.5% and 13%
thank you!
Hi.. I have a doubt.. in this video.. the coefficient table, the first predictor p value is 0.09 rite.. if the alpha value is 0.05. Then, p value > alpha value.. it should be insignificant right... Please explain
Actually it equals 0.009 which is
Hi Todd, from where can I get the a value?
Hello sir ..if in multiple regression linearity assumption cannot full fill after transformation and RSaqure is 0.245 in model fit what to do ? Is multiple regression is applicable still? If not which of analysis is applicable kindly help me out
Very, very helpful!
Thank you!
Hi Sir may i ask how can I interpret a negative beta value if my variable is nominal in a regression example: gender?
Why do we take the P value from the significance in the Coefficient table, and not from the significance between our IV and DV's in the correlation table?
What does the R2 mean?
what is t stands for?
Thank you!
Thank you so much
THANK YOU
Thank you.Sir!
You’re welcome!
Thank youu
thanks, really helpful
You're welcome, thanks for watching -
hi i have a problem in data putting in spss please help me in the concern situation.
what does the t-value mean??
T value tells you more or less the same as the P value. But Higher T value is better, meanwhile lower P values are better. So a High T value equals a low P value. As well as a High Std.Error vil reflect itself in a low T value and a high Significance ( as in Worse).
hand to read the table result
Dr, your voice is too soft, if the voice could be a little louder that will be great. Thanks!