Hello, I'm afraid this is another beginner's question. I've only recently grasped the fundamentals of linear and multiple linear regression and I still have the following nagging doubt.
I'd like to analyse some sales data for the purpose of forecasting future performance. My dependent variable (Y) is 'profit/loss'. My question stems from the fact that the historical values for this variable are either a positive number (ranging from 0 to 1000) or a fixed negative value of -100. It's my understanding that a multiple regression model here would produce varying negative (and positive) values for Y, and this is not my issue. What I'd like to know is, are there any other implications of using this sort of input in a regression model? Or can it be treated in the same way as any ratio type data? Thank you.
I'd like to analyse some sales data for the purpose of forecasting future performance. My dependent variable (Y) is 'profit/loss'. My question stems from the fact that the historical values for this variable are either a positive number (ranging from 0 to 1000) or a fixed negative value of -100. It's my understanding that a multiple regression model here would produce varying negative (and positive) values for Y, and this is not my issue. What I'd like to know is, are there any other implications of using this sort of input in a regression model? Or can it be treated in the same way as any ratio type data? Thank you.