I'd like to have your opinion on the following;
Assuming that I'm doing a research on setting the optimal price for gasoline for a company and my client wants me to perform a study on customers' gasoline purchasing habits when they notice an increase in the price of gas.
I have a training data on these categories:
- People who have not noticed a gas-price increase
- People who drive electric cars
- People who have recently noticed a gas-price increase
- People who ride their bikes to work
- People who ride the bus
Where I am going to form a treatment and a control group. Though I'm not sure how to pick the categories I'll be including in the test.
My opinion (definitely not an expert), I would ignore the people who ride their bikes to work and who drive electric cars, as they are simply out of the interest of the research. And randomly distribute the other categories' members. Thing I'm not sure is about the people who ride the bus; should I include them or not?
However my other opinion is that there might be also some switches for EVs, bikes or public bus. In this case I'd better include every category in the data.
Thanks in advance for every opinion.