Linked Questions
16 questions linked to/from Explain the difference between multiple regression and multivariate regression, with minimal use of symbols/math
12
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2
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Multivariable vs multivariate regression [duplicate]
I am a little unsure about the semantics in this regard, and was hoping someone could cast some light on this.
As far as I understand, multivariable is basically one dependent variable and several ...
7
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1
answer
2k
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What is the difference between multiple regression & mutivariate regression? [duplicate]
I have data on GDP growth as a dependent variable and growth in main production sectors of Pakistan such as mining, electricity, communication, manufacturing and electricity. I am supposed to run a ...
2
votes
0
answers
227
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Multivariate Regression? [duplicate]
All I know about multivariate regression is that there's multiple outputs.
I'd like to learn more, but I have no idea where to start because all of the tutorials that say 'multivariate regression' ...
0
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0
answers
28
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How to predict single y target based on several X values? [duplicate]
I try to predict the result of an personality type test based on how people answered.
My sample consists of the answers which range from 1 (strongly disagree) to 7 (strongly agree). Six answers lead ...
53
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5
answers
32k
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Why do we need multivariate regression (as opposed to a bunch of univariate regressions)?
I just browsed through this wonderful book: Applied multivariate statistical analysis by Johnson and Wichern. The irony is, I am still not able to understand the motivation for using multivariate (...
24
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6
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2k
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Advanced regression modeling examples
I'm looking for an advanced linear regression case study illustrating the steps required to model complex, multiple non-linear relationships using GLM or OLS. It is surprisingly difficult to find ...
8
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2
answers
8k
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Simple, multiple, univariate, bivariate, multivariate - terminology
I do realise (some of) this has already been addressed here (e.g., Why do we need multivariate regression (as opposed to a bunch of univariate regressions)?, Explain the difference between multiple ...
5
votes
2
answers
4k
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How to handle dependent, multidimensional output in machine learning
I have some data where X is n x p and Y is n x d, where d = 36. To recreate it I am currently training 36 independent models to take X and recreate Y one column at a time. It works okay, but it ...
7
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1
answer
6k
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Readdressing the semantics of multivariate and multivariable analysis
There was a post once upon time dealing with the differences of multivariable and multivariate regression. I have seen the relevant post here. However I am having this debate with a colleague and ...
2
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1
answer
5k
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Normal equation for multivariate linear regression
What is the normal equation for multivariate linear regression?
In the case of monovariate linear regression, using ordinary least squares, to obtain $\theta^* = \text{argmin}_{\theta} \sum_{i=1}^m (\...
3
votes
2
answers
3k
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Multivariate regression vs. multiple univariate regression models
This is a naive question, but I am a little confused over the term "multivariate" regression. And note this question does not (to my knowledge) pertain to "multiple" regression.
When people use the ...
3
votes
2
answers
283
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A fundamental question about multivariate regression
This is slightly embarrassing, as I've done a fair amount of statistical work, but for years I've heard this niggling voice at the back of my head, and I need to ask someone.
I remember when I first ...
2
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2
answers
710
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Multivariate Solutions to Nonlinear Data
I've been surveying the different methods of approaching linear multivariate problems (ex PCA, PLS, factor analysis etc.) and want generate a model for Y's that depend non-linearly on $X$'s via ...
2
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1
answer
974
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Logistic Regression models with two or more response variables in R/SAS
There are a lot of inconsistencies in the literature over what should be the appropriate term(s) for the regression models involving two or more responses, and if they are binary/continuous, for more ...
2
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0
answers
150
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Prediction with multiple Outputs
i try to find an algorithm that meets my expectations.
Following Scenario:
I want to predict the delivery of natural ressources (ores). So i have data with composition of the ressources from a ...