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Table for Exercise 12.9 Variable B Estimate Std. Error t-Value Air Quality (x1) Temperature (x2) Odor/Aroma (x3) Music (x4) Noise/Sound Level (x5) Overall Image (x6) .122 .018 2.51 .0486 .0545 .33 .124 .0446 2.78 .119 .0372 3.20 .101 .0380 2.66 .463 .0438 10.56 = .508, Radi = .501, F = 71.42 R'adi Source: Based on M. Suh, et al. "Invisible and Intangible, but Undeniable: Role of Ambient Conditions in Building Hotel Guests' Loyalty," Journal of Hospitality Marketing & Management, Vol. 24, No. 7, 2015 (Table 4). Copyright: 2015. b. Give a practical interpretation of each of the B-estimates shown. c. A 99% confidence interval for B6 is (.350, .576). Give a practical interpretation of this result.

Table for Exercise 12.9 Variable B Estimate Std. Error t-Value Air Quality (x1) Temperature (x2) Odor/Aroma (x3) Music (x4) Noise/Sound Level (x5) Overall Image (x6) .122 .018 2.51 .0486 .0545 .33 .124 .0446 2.78 .119 .0372 3.20 .101 .0380 2.66 .463 .0438 10.56 = .508, Radi = .501, F = 71.42 R'adi Source: Based on M. Suh, et al. "Invisible and Intangible, but Undeniable: Role of Ambient Conditions in Building Hotel Guests' Loyalty," Journal of Hospitality Marketing & Management, Vol. 24, No. 7, 2015 (Table 4). Copyright: 2015. b. Give a practical interpretation of each of the B-estimates shown. c. A 99% confidence interval for B6 is (.350, .576). Give a practical interpretation of this result.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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a, b, and c

12.9 Ambiance of 5-star hotels. Although invisible and in- tangible, ambient conditions such as air quality (x1), temperature (x2), odor/aroma (x3), music (x4), noise level (x5), and overall image (x6) may affect guests' satisfaction with their stay at a hotel. A study in the Journal of Hospitality Marketing & Management (Vol. 24, 2015) was designed to assess the effect of each of these ambient factors on customer satisfaction with the hotel (y). Using a survey, researchers collected data for a sample of 422 guests at 5-star hotels. All variables were measured as an average of several 5-point questionnaire responses. The results of the multiple regression are summarized in the table on the next page. a. Write the equation of a first-order model for hotel image (y) as a function of the six ambient condi- tions.
Transcribed Image Text:12.9 Ambiance of 5-star hotels. Although invisible and in- tangible, ambient conditions such as air quality (x1), temperature (x2), odor/aroma (x3), music (x4), noise level (x5), and overall image (x6) may affect guests' satisfaction with their stay at a hotel. A study in the Journal of Hospitality Marketing & Management (Vol. 24, 2015) was designed to assess the effect of each of these ambient factors on customer satisfaction with the hotel (y). Using a survey, researchers collected data for a sample of 422 guests at 5-star hotels. All variables were measured as an average of several 5-point questionnaire responses. The results of the multiple regression are summarized in the table on the next page. a. Write the equation of a first-order model for hotel image (y) as a function of the six ambient condi- tions.
Table for Exercise 12.9 Variable B Estimate Std. Error t-Value Air Quality (x1) Temperature (x2) Odor/Aroma (x3) Music (x4) Noise/Sound Level (x5) Overall Image (x6) .122 .018 .0486 .0545 2.51 .33 .124 .119 .101 .0446 2.78 3.20 .0372 .0380 2.66 .463 .0438 10.56 R² = .508, Radj .501, F = 71.42 Source: Based on M. Suh, et al. "Invisible and Intangible, but Undeniable: Role of Ambient Conditions in Building Hotel Guests' Loyalty," Journal of Hospitality Marketing & Management, Vol. 24, No. 7, 2015 (Table 4). Copyright: 2015. b. Give a practical interpretation of each of the B-estimates shown. c. A 99% confidence interval for B6 is (.350, .576). Give a practical interpretation of this result. d. Interpret the value of adjusted R?. e. Is there sufficient evidence that the overall model is statistically useful for predicting hotel image (y)? Test using a = .01.
Transcribed Image Text:Table for Exercise 12.9 Variable B Estimate Std. Error t-Value Air Quality (x1) Temperature (x2) Odor/Aroma (x3) Music (x4) Noise/Sound Level (x5) Overall Image (x6) .122 .018 .0486 .0545 2.51 .33 .124 .119 .101 .0446 2.78 3.20 .0372 .0380 2.66 .463 .0438 10.56 R² = .508, Radj .501, F = 71.42 Source: Based on M. Suh, et al. "Invisible and Intangible, but Undeniable: Role of Ambient Conditions in Building Hotel Guests' Loyalty," Journal of Hospitality Marketing & Management, Vol. 24, No. 7, 2015 (Table 4). Copyright: 2015. b. Give a practical interpretation of each of the B-estimates shown. c. A 99% confidence interval for B6 is (.350, .576). Give a practical interpretation of this result. d. Interpret the value of adjusted R?. e. Is there sufficient evidence that the overall model is statistically useful for predicting hotel image (y)? Test using a = .01.
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