Hi everyone,
I have a linear model Y=bX + e.
I know that, in order to obtain the predicted value of Y, I can run the regression command and then use the command "predict".
But I need to do something different: I need to estimate Y imposing some beta coefficients that I did not estimate in previous regressions.
Basically I have a vector and I want to estimate Y as if the values in my vector were the beta coefficients. Is it possible? How can I do that?
Aurora
Related Posts with Predicting dependent variable
e(clust#) not working in reghdfeHi, I ran into a problem where I do not know whether this is a bug or whether I am doing something w…
How to ask stata to round the labels in a histogram?Hi , I am using the following code to make a graph, but: the decimals in the graph are annoying; if …
Regression with moderation in StataHello everybody, I am a bit unsure about the construction of my regression and need some help. I hav…
Potential problems with transforming a dataset of ordinal variables into different variable typesHello everyone, Im working with a variable set (N=914) that includes almost only ordinal variables …
Goodness-of-fit for binomial (not inverse binomial) variableI have a dataset containing 5,772,663 distinct values. If I plot them using a histogram a (more or l…
Subscribe to:
Post Comments (Atom)
0 Response to Predicting dependent variable
Post a Comment