Answer:
True
Explanation:
A linear model gives the linear relationship between the dependent variable and one or more independent variables. The relationship is linear if it assumes the equation of a straight line.
For precision and accuracy in the linear model that is developed, the model has to contain a lot of data points (observations). A model that does not contain any data points cannot be accurate and cannot give any reasonable predictions