In: Operations Management
Consider the two variables service quality and customer satisfaction. Service quality is independent variable and customer satisfaction is dependent variable. Perform regression analysis using SPSS and explain the results. PLEASE USE SPSS ONLY AND PASTE THE OUTPUT OF SPSS. DO NOT USE EXCEL OR ANY OTHER SOFTWARE. SPSS ONLY PLEASE. SERVICE QUALITY CUSTOMER SATISFACTION
SERVICE QUALITY |
CUSTOMER SATISFACTION |
11 |
13 |
34 |
21 |
41 |
45 |
35 |
75 |
61 |
67 |
72 |
76 |
57 |
95 |
62 |
114 |
61 |
94 |
41 |
54 |
55 |
44 |
64 |
76 |
23 |
36 |
10 |
115 |
87 |
54 |
98 |
62 |
119 |
24 |
111 |
45 |
133 |
86 |
24 |
81 |
45 |
83 |
36 |
94 |
13 |
16 |
24 |
26 |
27 |
36 |
19 |
43 |
23 |
53 |
45 |
53 |
53 |
67 |
66 |
39 |
71 |
40 |
22 |
42 |
25 |
53 |
26 |
64 |
17 |
45 |
48 |
45 |
134 |
115 |
125 |
111 |
13 |
23 |
24 |
24 |
45 |
44 |
45 |
45 |
67 |
67 |
74 |
56 |
35 |
45 |
16 |
23 |
31 |
34 |
43 |
55 |
64 |
66 |
72 |
72 |
22 |
24 |
32 |
35 |
17 |
47 |
55 |
44 |
54 |
13 |
Inputs:
Result:
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Explanation:
The regression equation will be written as follows:
Satisfaction = 0.355 * Service quality + 37.274
The p-value corresponding to the slope coefficient 0.355 is 0.001 which is less than 0.05. So, at a 5% significance level, the slope coefficient is significant. However, the R-square measure is only 0.177 which indicates that only 17.7% of the variations in customer satisfaction can be explained by the model i.e. by the independent variable service quality. So, the explanatory power of the model is poor.