The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul (Time in years) based on four explanatory variables: (1) annual mileage, (2) age of the vehicle, (3) type of fuel used, and (4) frequency of maintenance checks. Which of the following is a potential challenge the manager may face in building this regression model?
A) Difficulty in collecting accurate data for all four explanatory variables.
B) Limited availability of statistical software to perform the regression analysis.
C) Incompatibility of the chosen regression method with the data structure.
D) Lack of expertise in interpreting the regression coefficients.