Conducting a Curvilinear Regression Analysis (Quadratic Model) in SPSS
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- Опубліковано 4 вер 2015
- This video demonstrates how to conduct a curvilinear regression analysis (quadratic model) in SPSS. Curvilinear regression analysis is useful when there is one bend in the regression line for two variables.
This video put me on a different path of thinking about the data and data modeling. Thank you,
Thanks sooooo much! I was able to complete my assignment using this thorough and descriptive video.
Thank you Dr. Grande! That helps a lot for my midterm!
Thank you. Your videos are very helpful and well-explained.
Thank you very much. This is very easy to understand
Thank you for your time to shared your knowledge with us.
You're welcome, thanks for watching -
Thank you! You're the youtube God of SPSS!
You're welcome!
Thank you Dr.!
Hi, Dr Grande Do we need to transform only the predictor variable or both. Thank you.
Hi Dr Grande,Thanks for de vid. I Have some questions about curvelineair multiple regressoin. What are the implications if only the quadratic term of the variable is significant? Does this mean that there is a curve in de best fitting line, but no change in direction ( I asume if the beta value of the predictior is posititive for the linear term and negative for the quadratic term of the predictor de bend in the line changes also of directon). My second question is. Can I use the options "backward" or "forward", because I have a lot of predictors in my model, and so spss runs automatic to a model that fits the data best. Thanks for reply
Hi Dr. Grande, can you make a video on using syntax for curvilinear regression?
Thanks, Dr.
Thank you for the video. How to do the Curvilinear Regression Analysis at different levels of moderators i.e. +1SD and -1SD
is there a way to find the max and min values for this function? for example, I'm trying to model a dose-response relationship and trying to find the threshold at which the slope of the function changes from positive to zero and then negative. How do i find this point? My thought is taking the second derivative for max/min, but is there a way to do it within spss?
Quick question: what does it mean when the 'sig if change' of model 2 is not significant, but its ANOVA is? Is it that the model is significant?
I just wondering, actually i'm new to this kind thing.
1) Is there any way to show the value not in R square but R? Some (and if im not mistaken, most) scientific paper show correlation of two variables with R value...
2) and which better to represent correlation, R or R square?
Thank you for your help
Wasn’t you just take the square root of the r2?
How would I do this if I want to test an inverted U shape relationship?
Can i remove constants... Because pvalue is greater than 0.01
Thank you.
You're welcome!
Hi Dr. Grande, can you make a video on using syntax for curvilinear regression?