You are building a linear regression model to model the relationship between marketing spend and revenue for an FMCG company. The first model that you built gave you an RMSE of 19.34. As you are working on the problem, you build different linear regression models using different derived features. The RMSE values for these models are given below.
 

 
Which of the following combinations of features would you use in the final model?