All Questions
Tagged with sas multiple-regression
14
questions
2
votes
1
answer
822
views
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 ...
- 123
1
vote
0
answers
19
views
SAS principal component analysis help [closed]
I have performed a principal component analysis on sas and have but my 15 variables into 4 factors so I have 4 new constructs. I now want to find out which of the original variables were important in ...
0
votes
0
answers
34
views
Why are standardised coefficients from STB not equivalent to standardised input data?
I recently saw a question on cross-validated which I wanted to double-check. The statement said that the following two outputs should be equal:
Running a multivariate regression on non-standardised ...
- 35
0
votes
1
answer
261
views
Modelling non event instead of event
I am currently building a logistic regression model for a uni project where I want to model the 'Event' as 'default' i.e. I will be using this model to predict whether a company will not be able to ...
- 35
2
votes
1
answer
1k
views
No intercept model with more than one factor
I am using SAS for linear regression with two independent categorical variables. When I run models with each categorical variable separately, I get estimates for every level of both variables. This ...
- 33
0
votes
2
answers
755
views
Value of t statistic equal to infinity
Does anyone know when PROC REG with selection = stepwise in SAS gives t-values equal to infinity?
I am getting an $R^2 = 1$. My data set has $n = 50$ observations ...
- 1
2
votes
1
answer
99
views
2 non-linearly correlated variables
I am currently looking at some code that uses 2 independent variables, which look as follows when scatter plotted:
Clearly, they are (non) linearly correlated. IMHO this violates a key assumption of ...
- 2,235
1
vote
1
answer
2k
views
proc glmselect and collinearity
proc glmselect seems to be really powerful and offers 'feature selection' methods such as LASSO and LAR variable selection methods. I am just curious, can it also check for collinearity and ideally ...
- 2,235
1
vote
0
answers
190
views
Linear Regression with both count and continuous zero inflated variables
I am trying to produce a multivariate linear regression model to predict the value of a continuous variable.
I have lots of variables with potential explanatory power, some are binary (e.g. sex), ...
1
vote
1
answer
72
views
Is imputation needed for $0$'s in regression?
I am working on a dataset of 2000 records using SAS Enterprise Miner in order to predict insurance payment (compensation) from insurer, a motor insurance company, to its customers. Though there are no ...
- 11
5
votes
1
answer
1k
views
Possible to code contrasts comparing each level to grand mean with no reference category?
I'm working on a health care outcome regression model using the deviation contrast scheme described on the UCLA SAS help page here for a collection of dichotomous predictor variables measuring medical ...
- 6,194
1
vote
2
answers
3k
views
Why does the adjusted r-squared of this model improve with addition of a statistically insignificant variable?
I stumbled on this while doing MLR, and was curious as to why this happens. The adjusted R-squared is (if I understand correctly) supposed to be a way of comparing the predictive quality of models ...
- 65
10
votes
4
answers
10k
views
When to use non-parametric regression?
I am using PROC GLM in SAS to fit a regression equation of the following form
$$
Y = b_0 + b_1X_1 + b_2X_2 + b_3X_3 + b_4t
$$
The QQ plot of the resulting redsiduals indicate deviation from ...
- 415
4
votes
2
answers
503
views
Fitting a particular Gaussian model
Using R or SAS, I want to fit the following Gaussian model:
$$
\begin{pmatrix}
y_{1j1} \\ y_{1j2} \\ y_{1j3} \\ y_{2j1} \\ y_{2j2} \\ y_{2j3}
\end{pmatrix}
\sim_{\text{i.i.d.}}
{\cal N}
\left(...
- 19.5k