The accompanying data file contains 35observations 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.

a-1.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.)

a-2.Calculate the RMSE of the two models in the validation set.(Do not round intermediate calculations and round your final answers to 2 decimal places.) a-3.Which model is better for making predictions?

Income	Hours	Hot	Holiday
196	5	1	0
282	8	0	0
318	6	1	0
232	5	1	0
276	8	0	0
312	8	0	1
193	5	0	1
182	4	0	0
321	8	1	0
283	8	0	0
325	8	1	0
247	7	0	1
398	8	1	1
448	8	1	1
214	4	0	0
235	8	0	0
238	8	0	0
148	3	1	0
313	8	0	1
449	8	1	1
332	8	1	1
247	8	0	0
363	7	1	0
393	7	1	1
182	8	0	0
228	8	0	0
355	6	1	1
248	7	0	1
291	8	1	0
255	5	1	0
239	6	0	0
181	6	0	0
222	7	0	0
170	5	0	1
374	6	1	1