I'm estimating a simple OLS regression model of the type: $y = \beta X + u$ After estimating the model, I need to generate a weighted combination of coefficients (e.g. $w_1 \beta_1 + w_2 \beta_2$) ...
Let's say I am using a logistic model to predict whether it rains (yes or no) based on the high temperature and have collected data for the past 100 days. Let's say that it rains 30/100 days. ...
I realize that this is a very basic question, but I can't find an answer anywhere. I'm computing regression coefficients using either the normal equations or QR decomposition. How can I compute ...
Possible Duplicate: How do I reference a regression model's coefficient's standard errors? If I have a dataset: ...
I have just read the answers to the question ...... Adding coefficients to obtain interaction effects - what to do with SEs? .......and found this really helpful! I am looking to do something similar ...