Typically it is best to have at least 20-30 participants for each predictor variable. In your case you have too many predictors relative to the number of cases and so you are likely to overfit the model which means that you are modeling random error. Some people will do this when *exploring* relationships, but in such cases it is probably better to use correlation rather than regression.