Tagged Questions
7
votes
1answer
104 views
Techniques for analyzing ratios
I am looking for advice and comments that deal with the analysis of ratios and rates. In the field in which I work analysis of ratios in particular is widespread but I have read a few papers that ...
0
votes
2answers
517 views
How to derive the least square estimator for multiple linear regression?
In the simple linear regression case $y=\beta_0+\beta_1x$, you can derive the least square estimator $\hat\beta_1=\frac{\sum(x_i-\bar x)y}{\sum(x_i-\bar x)^2}$ such that you don't have to know ...
0
votes
2answers
863 views
How to do multiple regression with limited experience and (hopefully) excel?
I am doing a study of how legal need relates to a number of predictors.
Outcome Variable: Legal Need (Yes or No)
Possible Predictors: Age, Gender, Race, Ethnicity, Language, Clinic, Insurance ...
2
votes
1answer
307 views
Validation of a linear regression model using R
I have created a multiple linear regression model with R using lm and glm. I am using lm on ...
5
votes
2answers
1k views
How to do a generalized linear model with multiple dependent variables in R?
I have six dependent variables (count data) and several independent variables, I see that in a MMR the script goes like this:
...
2
votes
1answer
184 views
Logistic regression and complementary log log model
is there like a diagnostic checking(like those in the time series) done for logistic regression and complementary loglog model?
1
vote
0answers
212 views
Abusing Linear Models under Multicollinearity: Simulation for 'realistic' movement of predictors
I have a reasonable understanding of why multicollinearity is a problem is regression models, along the lines of this excellent post.
To summarise my understanding, for a regression model of $y = ...
