The manager of a hotel chain is interested in knowing whether there is a relationship between the number of positive reviews a hotel receives online and its occupancy rate. The manager collected data from 10 hotels and recorded the number of positive reviews each hotel received on a popular travel website and the corresponding occupancy rate (in percentage) for the same period. The data is shown below: 45 65 55 80 75 70 90 50 60 85 Hotel Positive Reviews 72 82 78 89 86 81 92 76 77 88 Occupancy Rate% 1. Determine the dependent and independent variables. 2. Calculate the correlation coefficient and comment. 3. Determine the regression equation Y = a + bx. 4. Give a brief interpretation for the values of "a" and "b". 5. If the hotel had no positive reviews, what would the occupancy rate be?
The manager of a hotel chain is interested in knowing whether there is a relationship between the number of positive reviews a hotel receives online and its occupancy rate. The manager collected data from 10 hotels and recorded the number of positive reviews each hotel received on a popular travel website and the corresponding occupancy rate (in percentage) for the same period. The data is shown below: 45 65 55 80 75 70 90 50 60 85 Hotel Positive Reviews 72 82 78 89 86 81 92 76 77 88 Occupancy Rate% 1. Determine the dependent and independent variables. 2. Calculate the correlation coefficient and comment. 3. Determine the regression equation Y = a + bx. 4. Give a brief interpretation for the values of "a" and "b". 5. If the hotel had no positive reviews, what would the occupancy rate be?
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.1: Stem-and-leaf Plots And Histograms
Problem 13E
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
Transcribed Image Text:The manager of a hotel chain is interested in knowing whether there is a relationship between
the number of positive reviews a hotel receives online and its occupancy rate. The manager
collected data from 10 hotels and recorded the number of positive reviews each hotel received
on a popular travel website and the corresponding occupancy rate (in percentage) for the
same period. The data is shown below:
45
65
55
80
75
70
90
50
60
85
Hotel Positive Reviews
72
82
78
89
86
81
92
76
77
88
Occupancy Rate%
1. Determine the dependent and independent variables.
2. Calculate the correlation coefficient and comment.
3. Determine the regression equation Ŷ = a + bx.
4. Give a brief interpretation for the values of "a" and "b".
5. If the hotel had no positive reviews, what would the occupancy rate be?
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