KB7044 Know how to perform correlation and regression analyses on a set of given data and interpret the results.

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Learning Outcome 1.Know how to perform correlation and regression analyses on a set of given data and interpret the results.

Learning Outcome 2.Perform straightforward statistical inferences.

Learning Outcome 3.Practice the principle of risk-based approach to data analysis through a mathematically case study with analytical and numerical approaches.

Learning Outcome 4.Use the probabilistic-based method so derived to support decision making under uncertainty.

Learning Outcome 5.Be able to carry out your own literature research prior to solving engineering decision making problems (in the form of an independent learning project) and present the result with an in depth discussion.

Analytical Approach: Case 1

Tasks

Your first Problem is to investigate if there is a reasonable degree of correlation between uncertainty and actual stress in the section. If there are reasons to believe that correlation exists between certain factors then a regression analysis needs to be performed. A sample consisting of 22 data items, which is shown in Table 1, is then collected.

Table 1: Data for Correlation & Regression Analysis

 

Serial Number

Mean Load (KN)

Load variation factor

Design sd

(MPa)

Actual sa

(MPa)

sa/sd

1

97

2

130

135

1.038

2

90

3

120

180

1.500

3

83

2

120

117

0.975

4

95

3

120

234

1.950

5

88

2

120

122

1.017

6

101

1

120

96

0.800

7

89

2

120

115

0.958

8

86

3

120

208

1.733

9

85

1

120

89

0.742

10

92

3

120

247

2.058

11

87

1

130

105

0.808

12

102

1

120

80

0.667

13

84

2

120

108

0.900

14

93

3

120

195

1.625

15

90

2

130

104

0.800

16

99

1

120

78

0.650

17

93

3

130

205

1.577

18

97

1

130

100

0.769

19

94

3

120

240

2.000

20

100

2

120

150

1.250

21

97

3

120

180

1.500

22

93

2

120

122

1.017

 

Problem 1�Organise/sort the data to see if patterns can be observed. Perform correlation and regression analysis on this set of data. Explain and interpret the results as clearly as possible.