Fahd wrote: > > Sorry for not being clear on that. The problem is very simple. We have a > room with all sort of sensors (light, weight, software sensors...etc) and > we have records of the activities people are doing along with readings > from the sensors. We want to identify the correlations between the sensors > and the activities, for example, if it is say a presentation then the > projector sensor should show a high correlation with the activity. We are > of course representing the activities with discrete values. Any thoughts > about the implications of using regression. > Fahd
Depending on the aims discriminant analysis might be sufficient for your purposes (i.e., predicting category membership such as "presentation" from sensor data). Multinomial logistic regression might be even better, though. Thom . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
