Determine the estimated multiple linear regression equation that can be used to predict the overall scores for comfort, amenities, and in-house dining?

Resorts & Spas, a magazine devoted to upscale vacations and accommodations, published its Reader's Choice List of the top 20 independent eachfront 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, the Muri Beach Odyssey, has an overall score of 94.3, the highest component of which is 97.7 for in-house dining. If required, round your answer 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 94.3 94.5 90. 97.7 Pattaya Resor 92.9 96.6 84.1 96.6 Sojourner's Respite 92 .8 99.9 100. 88.4 Spa Carribe 91. 88.5 94.7 37.0 Penang Resort and Spa 90.4 95. 87.8 91.1 Mokihana Hokele 90 .2 92.4 82.0 98.7 Theo's of Cape Town 90 .1 95.9 86.2 91.9 Cap d'Agde Resort 89.8 92.5 92.5 88.8 Spirit of Mykonos 89.3 94.6 85.8 90.7 Turismo del Mar 89.1 90.5 83.2 90.4 Hotel Iguana 89.1 90.8 81.9 88.5 Sidi Abdel Rahman Palace 89.0 93.0 93.0 89.6 Sainte-Maxime Quarters 88.6 92.5 78.2 1.2 Rotorua Inn 87.1 93.0 91.6 73.5 Club Lapu-Lapu 87.1 90.9 74.9 89.6 Terracina Retreat 86.5 94.3 78.0 91.5 Hacienda Punta Barco 86. 95.4 77.3 90.8 Rendezvous Kolocep 86.0 94.8 76.4 1.4 Cabo de Gata Vista 86.0 92.0 72.2 89.2 Sanya Deluxe 85. 93.4 77.3 91.8 rmine the estimated multiple linear regression equation that can be used to predict the overall score given the scores for comfort, amenities, and in-house dining. Let X1 represent Comfort. Let x2 represent Amenities. Let x3 represent In-House Dining X1 + * 2 + X 3 I ne p-value associated with i - Select your answer - V - Select your answer - - Select your answer - ov - Select your answer - less reject is comfort and amenities greater do not reject is not comfort and in-house dining The p-value associated with because tills p value Is amenities and in-house dining an for answer - (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 p-value associated with the estimated regression parameter b1 is Because this p-value is - Select your answer - + than the level of significance, we - Select your answer - the hypothesis that B1 = 0. We conclude that there - Select your answer - 4 a relationship between the score on comfort and the overall score at the 0.01 level of significance when controlling for - Select your answer The p-value associated with the estimated regression parameter by is Because this p-value is - Select your answer - + than the level of significance, we - Select your answer - + the hypothesis that B2 = 0. We conclude that there (- Select your answer - a relationship between the score on amenities and the overall score at the 0.01 level of significance when controlling for ( - Select your answer - The p-value associated with the estimated regression parameter b3 is . Because this p-value is - Select your answer - + than the level of significance, we - Select your answer - + the hypothesis that 83 = 0. We conclude that there - Select your answer - : a relationship between the score on in-house dining and the overall score at the 0.01 level of significance when controlling for - Select your answer - (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. D = X1 + x 2 + X3