Hello I have a network of sample plots distirubuted in a regular grid in researched area. On each plot I measured my dependent variable and set of 'independent' (as independent as real world relations can be where everything sems to be related to everything). Now I am using multivariate regression to create a model allowing to estimate dependent variable from set of independent. Dependent variable has normal distribution. The most correlated with dependent variable seems to be height above sea level although its distribution is very different from normal because of shape of area where research was made. My questions are: 1)Should I try to transform it to obtain distribution more similar to normal as literature suggests? 2) When forward or backward stepwise regression is used, is there a limit for the number of independent variables one can take into procedure? Does the literature which suggest taking 5 to 20 times less variables then cases speaks about final equation obtained from frinished regression procedure or amount before stepwise procedure?
Thanks in advance for your help! Rafal . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
