Question

In: Operations Management

Consider the two variables service quality and customer satisfaction. Service quality is independent variable and customer...

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

Solutions

Expert Solution

Inputs:

Result:

-------------------

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.


Related Solutions

Consider the two variables service quality and customer satisfaction. Service quality is independent variable and customer...
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 2 1 3 2 4 4 5 7 6 6 7 7 8 9 6 11 6 9 4 5 5 4 6 7 2 3...
Consider the following data for a dependent variable and two independent variables, and . x1= 30...
Consider the following data for a dependent variable and two independent variables, and . x1= 30 46 24 50 41 51 74 36 60 77. x2 = 13 11 17 17 6 20 8 12 13 16. y = 95 109 112 178 94 176 170 117 142 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating to y to x1 . Predict y if...
Consider the following data for a dependent variable y and two independent variables, x2 and x1....
Consider the following data for a dependent variable y and two independent variables, x2 and x1. x1 x2 y 30 12 94 46 10 109 24 17 113 50 17 179 41 5 94 51 19 175 75 8 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to x1 . Predict y if x1=45....
Consider the following data for a dependent variable y and two independent variables, x1 and x2.
You may need to use the appropriate technology to answer this question. Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 93 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 The estimated regression equation for these data is ŷ = −18.89 + 2.02x1 + 4.74x2. Here, SST = 15,276.0,...
Consider the following data for a dependent variable y and two independent variables, x1 and x2....
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 94 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 209 The estimated regression equation for these data is ŷ = −17.02 + 1.99x1 + 4.70x2. Here, SST = 14,902.9, SSR = 13,773.1, sb1 = 0.2470, and sb2 = 0.9480. (1a) Test...
Consider the following data for a dependent variable y and two independent variables, x1 and x2....
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 13 95 46 10 108 25 18 113 50 16 179 40 5 95 51 20 176 74 7 170 36 12 117 59 13 142 77 16 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to x1. ŷ =_________ +___________ x1 Predict...
Consider the following data for a dependent variable y and two independent variables, x1 and x2....
Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 95 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 212 The estimated regression equation for these data is ŷ = −18.52 + 2.01x1 + 4.75x2. Here, SST = 15,234.1, SSR = 14,109.8, sb1 = 0.2464, and sb2 = 0.9457. (a)Test for...
Consider the following data for a dependent variable y and two independent variables, x1and x2. x...
Consider the following data for a dependent variable y and two independent variables, x1and x2. x 1 x 2 y 29 13 94 47 10 109 24 17 113 50 16 178 40 6 95 52 20 176 75 7 171 37 13 118 59 14 142 77 17 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to x1. ŷ =  +  x1 Predict y...
In the various sales and service industries, the satisfaction of the customer is paramount to the...
In the various sales and service industries, the satisfaction of the customer is paramount to the success of a product and company. Share at least two dominant factors for a company to consider in order to earn the satisfaction of the customer and keep the customers satisfied.
Given here are the data from a dependent variable and two independent variables. The second independent...
Given here are the data from a dependent variable and two independent variables. The second independent variable is an indicator variable with several categories. Hence, this variable is represented by x2, x3, and x4. How many categories are there for this independent variable? Use a computer to perform a multiple regression analysis on this data to predict y from the x values. Discuss the output and pay particular attention to the dummy variables. y x1 x2 x3 x4 11 1.9...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT