I've got a bit of advertising data here and I'd like to make a model out of it which can predict future events.

So I have the amount of money spent, the number of billboards we've got and how many people we think have seen the billboard. We also have the number of walk ins we think are due to the billboard but want to know how many more walk ins we'll have if we invest more/get more exposure/get more billboards around the place.

I'd like to do this in R but I'm not sure how to do it. Could someone lead me into a direction about what I should be doing to get a decent prediction (no seasonality).

Feel free to ask me more questions regarding all of this! I'd love some input and help from people who are good at stats (unlike me).

Thanks