I'm creating a regression model that predicts a customer's spending based on their income, age, gender , and region. The model looks as follows:
lm(spending ~ income + age + gender + region, data = tab.ordercustomers)
I want to see what the effect of an extra $10,000 go income is on spending. Would I do this by adding 10,000 to each income observation in tab.ordercustomers and then create another regression model? If so, how would I then determine the effect of this extra $10,000?