Question
A researcher wanted to know which cuisine is more popular to the customers in terms of: food, dcor, and service ( Cuisine Dataset ). The
A researcher wanted to know which cuisine is more popular to the customers in terms of: food, dcor, and service (Cuisine Dataset). The researcher was able to gather 66 responses presented in the dataset (use the same dataset in the Application section of Lesson 6). Assume that the researcher required the respondents to rate food, dcor, and service from 1 to 30, wherein 1 is the lowest rate and 30 is the highest.
As what you may have observed when you conducted the "Descriptive Statistics" in Excel and SPSS, the "range", "variance", and "standard deviation" were already computed. Thus, you only need to compute for the Coefficient of Variation or Covariance for the following statement of the problem:
a. Is there a relationship between food and dcor? Interpret the results
b. Is there a relationship between food and service? Interpret the results
c. Is there a relationship between decor and service? Interpret the results
Responses | Food | Decor | Service | Type of Cuisine |
1 | 28 | 25 | 27 | Korean |
2 | 27 | 24 | 27 | Korean |
3 | 27 | 23 | 26 | Korean |
4 | 27 | 28 | 27 | Korean |
5 | 27 | 20 | 25 | Korean |
6 | 27 | 26 | 27 | Korean |
7 | 27 | 23 | 27 | Korean |
8 | 26 | 24 | 25 | Korean |
9 | 26 | 25 | 24 | Korean |
10 | 26 | 23 | 25 | Korean |
11 | 25 | 22 | 23 | Chinese |
12 | 24 | 24 | 23 | Chinese |
13 | 23 | 21 | 21 | Chinese |
14 | 23 | 19 | 23 | Chinese |
15 | 22 | 21 | 21 | Chinese |
16 | 22 | 17 | 21 | Chinese |
17 | 22 | 21 | 21 | Chinese |
18 | 21 | 18 | 19 | Chinese |
19 | 20 | 14 | 19 | Chinese |
20 | 19 | 7 | 14 | Chinese |
21 | 29 | 28 | 28 | French |
22 | 29 | 27 | 28 | French |
23 | 28 | 27 | 27 | French |
24 | 28 | 28 | 28 | French |
25 | 28 | 27 | 28 | French |
26 | 28 | 28 | 28 | French |
27 | 27 | 24 | 26 | French |
28 | 26 | 16 | 23 | French |
29 | 25 | 25 | 26 | French |
30 | 25 | 23 | 25 | French |
31 | 25 | 24 | 23 | Indian |
32 | 24 | 18 | 22 | Indian |
33 | 23 | 19 | 21 | Indian |
34 | 23 | 19 | 21 | Indian |
35 | 23 | 26 | 23 | Indian |
36 | 22 | 17 | 19 | Indian |
37 | 22 | 19 | 19 | Indian |
38 | 21 | 16 | 18 | Indian |
39 | 21 | 22 | 20 | Indian |
40 | 21 | 16 | 18 | Indian |
41 | 28 | 26 | 26 | Italian |
42 | 27 | 27 | 27 | Italian |
43 | 27 | 24 | 25 | Italian |
44 | 27 | 25 | 26 | Italian |
45 | 26 | 24 | 23 | Italian |
46 | 26 | 24 | 23 | Italian |
47 | 26 | 17 | 24 | Italian |
48 | 26 | 19 | 23 | Italian |
49 | 26 | 21 | 26 | Italian |
50 | 26 | 21 | 23 | Italian |
51 | 28 | 22 | 24 | Japanese |
52 | 28 | 17 | 25 | Japanese |
53 | 27 | 15 | 21 | Japanese |
54 | 26 | 27 | 25 | Japanese |
55 | 26 | 23 | 23 | Japanese |
56 | 26 | 23 | 23 | Japanese |
57 | 26 | 23 | 23 | Japanese |
58 | 25 | 18 | 22 | Japanese |
59 | 25 | 18 | 22 | Japanese |
60 | 24 | 26 | 23 | Japanese |
61 | 25 | 17 | 22 | Mexican |
62 | 23 | 17 | 20 | Mexican |
63 | 23 | 19 | 20 | Mexican |
64 | 20 | 10 | 15 | Mexican |
65 | 19 | 19 | 18 | Mexican |
66 | 19 | 21 | 18 | Mexican |
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