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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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