I built a linear multivariable regression model from normalized data (for the interval [0; 1]). Initially, the data was not normalized, I normalized the data by myself (independent and dependent variables). I want to use this model to make predictions from newly received data (I get the values of independent variables and I want to predict the value of the dependent variable). The problem is that the data comes in a raw, unnormalized form.
- How can I normalize newly arriving data if only one "observation" is received?
- What if I want to get the real values of the dependent variable using my model, and not the normalized ones?