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Resorts & Spas, a magazine devoted to upscale vacations and accommodations, published its Reader's Choice List of the top 20 independent beachfront boutique hotels in the world. The data shown are the scores received by these hotels based on the results from Resorts & Spas' annual Readers' Choice Survey. Each score represents the percentage of respondents who rated a hotel as excellent or very good on one of three criteria (comfort, amenities, and in-house dining). An overall score was also reported and used to rank the hotels. The highest ranked hotel, th Muri Beach Odyssey, has an overall score of 95.1, the highest component of which is 100.0 for comfort. If required, round your answers to three decimal places. Click on the datafile logo to reference the data. DATA file Hotel Overall Comfort Amenities In-House Dining Muri Beach Odyssey 95.1 100.0 88.4 99.9 Pattaya Resort 92.6 84.1 96.6 96.6 Sojourner's Respite 92.4 94.7 97.0 88.5 Spa Carribe 92.3 93.0 89.6 93.0 Penang Resort and Spa 90.6 82.0 98.7 92.4 Mokihana Hokele 90.5 92.5 88.8 92.5 Theo's of Cape Town 90.0 90.8 97.7 94.5 Cap d'Agde Resort 89.9 86.2 91.9 95.9 Spirit of Mykonos 88.9 85.8 90.7 94.6 Turismo del Mar 88.8 87.8 91.1 95.0 Hotel Iguana 88.7 78.0 91.5 94.3 Sidi Abdel Rahman Palace 88.3 81.9 88.5 90.8 Sainte-Maxime Quarters 88.1 83.2 90.4 90.5 Rotorua Inn 88.0 77.3 91.8 93.4 Club Lapu-Lapu 87.5 91.6 73.5 93.0 Terracina Retreat 86.8 74.9 89.6 90.9 Hacienda Punta Barco 86.3 77.3 90.8 95.4 Rendezvous Kolocep 86.0 76.4 91.4 94.8 Cabo de Gata Vista 85.7 78.2 91.2 92.5 Sanya Delux 84.1 72.2 89.2 92.0(a) Determine the estimated multiple linear regression equation that can be used to predict the overall score given the scores for comfort, amenities, and inhouse dining. Let x1 represent Comfort. Let x2 represent Amenities. Let X3 represent In-House Dining. 3} = + x1 + x2 + x3 (b) Use the t test to determine the significance of each independent variable. What is the conclusion for each test at the 0.01 level of significance? If your answer is zero, enter "0". The pvalue associated with the estimated regression parameter in is . Because this pvalue is greater v than the level of significance, we do not reject v the hypothesis that ,81 = 0. We conclude that there is not v a relationship between the score on comfort and the overall score at the 0.01 level of significance when controlling for comfort and amenities v . The pvalue associated with the estimated regression parameter b2 is . Because this pvalue is less v than the level of significance, we do not reject v the hypothesis that ,82 = 0. We conclude that there is v a relationship between the score on amenities and the overall score at the 0.01 level of significance when controlling for comfort and in-house dining v . The pvalue associated with the estimated regression parameter b3 is . Because this pvalue is less v than the level of significance, we do not reject v the hypothesis that ,83 = 0. We conclude that there is v a relationship between the score on in house dining and the overall score at the 0.01 level of significance when controlling for comfort and amenities v . (c) Remove all independent variables that are not significant at the 0.01 level of significance from the estimated regression equation. What is your recommended estimated regression equation? Enter a coefficient of zero for any independent variable you chose to remove