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The accompanying data le contains 35 observations for an ice cream truck driver's daily income (Income in $), number of hours on the road (Hours). whether it was a particularly hot day (Hot =1 if the high temperature was above 85F, 0 otherwise), and whether it was a Holiday (Holiday =1, 0 otherwise). Consider two models where Model 1 predicts Income on the basis of Hours, Hot, and Holiday and Model 2 also includes the interaction between Hot and Holiday. picture Click here for the Excel Data File 34. Use the holdout method to compare the predictability of the models using the first 24 observations for training and the remaining 11 observations for validation. Report the estimates of Models 1 and 2 derived from the training set. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Pradlctor Variable Model 1 Model 2 Constant Hours Hot Holiday Hot x Holiday 3-2. Calculate the RMSE of the two models in the validation set. (Do not round intermediate calculations and round your nal answers to 2 decimal places.) Model 1 Model 2 RMSE a-3. Which model is better for making predictions? because its RMSE is