28
A. Zakaria et al.
Table 3.3 Second-Round
Survey
Determinant
N
Mean
S.D
Speed of vessel
7
3.43
.787
Port efficiency
7
3.56
.787
Types of ship
7
4.00
.577
Payload factor
7
3.70
.951
Cargo handling cost
7
4.89
.381
Ro-Ro service Promotion
7
4.70
.488
Service quality
7
4.29
.488
Valid N (listwise)
7
will determine the success of the Ro-Ro operations at Klang Port compared to all
independent variables.
3.4.3 Pearson Correlation Analysis
Table 3.4 indicates the degree of correlation between two variables which are the
dependent variable and independent variable. The cargo handling cost is the highest
value compared to any other variable which is 0.500, and the data are close to 1.
The consequences of this result demonstrate that there is a significant relationship
between two variables.
Table 3.4 Pearson Correlation Analysis
1
2
3
4
5
6
7
8
1
1.00
.500
.118
.281
.462
−.275
−.427
−.235
2
.500
1.00
.615
.000
−.255
.240
−.496
−.373
3
.118
.615
1.00
.000
−.191
.881
−.372
−.063
4
.280
.000
.000
1.00
.302
.000
−.592
.000
5
.462
−.255
−.191
.303
1.00
−.132
−.205
.565
6
−.276
.240
.881
.000
−.133
1.00
−.258
.257
7
−.425
−.496
−.372
−.591
−.204
−.258
1.00
−300
8
−.238
−.172
−.062
.000
.565
.258
−.300
1.00
Legend:
1: Successful Ro-Ro Operation
2: Cargo handling cost
3: Port efficiency
4: Types of ship
5: Payload factor
6: Ro-Ro service Promotion
7: Speed of vessel
8: Service Quality