Data included

2900 4 13 2 August 3000 4 11 3 August 3200 4 11 2.5 August 3400 4 6 1 August 3500 5 8 2 August 3600 5 10 2 August 3700 5 14 1.5 August 4000 4 10 1.5 August 4100 4 20 2 August 4250 5 8 1 August 4500 5 2 1 August 4500 5 12 2 August 4500 4 13 2.5 August 4300 5 1 1.5 August 5000 5 9 2 August 5400 6 14 2 August 5770 5 10 1.5 August 6000 5 1 2 August 7300 4 12 1 August 3000 5 13 1.5 August 9000 5 16 0.5 August 10500 6 21 1.5 August .12202______3 _______ 2. _____ 2- 51523251- 2. Jersey Shore Realtors would like to develop a regression model to help it set weekly rental rates for beach properties during the summer season in New Jersey. The independent variables for this model are the number of bedrooms a property has, its age, the number of blocks away from the ocean it is, and the rental month (June, July, or August). These data can be found in the le \"Jersey Shore Realtors 2\" in the d21. As demonstrated in the lecture, please create a subset data of size 78 and perform your statistical analysis for the subset data. Please note that the subset data should be a random sample of the given data. (a) Is the number of bedrooms a signicant predictor? Show details of the hypothesis test. Use a = 0.5. (b) Is the multiple linear regression model signicant? Show details. Use a = 0.05. (0) Provide the detailed interpretations of the coeicients of the slopes of the regression model in the context of the problem. ((1) Use your estimated regression equation to predict the average weekly rental rate during the month of July for a three-bedroom house that is 10 years old and two blocks from the ocean