My data set relates to goods sold. I have a unit price, qty sold at that price and a number of other variable, such as sales person, geography, marketing support. the qty sold varies throughout any sampled period of time irrespective of price. It also 'appears' to vary more when the price is changed-as common sense would sugggest.
What I would like to measure is the impact/significance of each of the other variables on the qty sold. I'm not a stats expert or coder butr have some experience/knowledge of using linear regression and correlation coefficients in my work