Table 21. Statistics showing a different mean and the std deviation of the sectors Correlations Building Automotive Marine Pearson Correlation 1 .807** .882** Sig. (2-tailed) .005 .001 Sum of Squares and Building 1.229 1.129 1.185 Covariance .137 .125 .132 Upon N 10 10 10 correlation Pearson Correlation .807** 1 .696* analysis, the Sig. (2-tailed) .005 .025 sectors such Sum of Squares and Automotive 1.129 1.594 1.065 as building Covariance .125 .177 .118 shows p<0.5 N 10 10 10 with p=1 Pearson Correlation .882** .696* 1 justifying the Sig. (2-tailed) .001 .025 highest Sum of Squares and Marine 1.185 1.065 1.470 degree of Covariance .132 .118 .163 positive N 10 10 10 correlation, Table 22. Shows that Building sector has the highest ‘P’ value, thus uses Fibre Automotive composite materials the most sector shows **. Correlation is significant at the 0.01 level (2-tailed). relatively *. Correlation is significant at the 0.05 level (2-tailed). p=.802
Table 21. Statistics showing a different mean and the std deviation of the sectors Correlations Building Automotive Marine Building Pearson Correlation 1 .807** .882** Sig. (2-tailed) .005 .001 Sum of Squares and 1.229 1.129 1.185 Covariance .137 .125 .132 N 10 10 10 Automotive Pearson Correlation .807** 1 .696* Sig. (2-tailed) .005 .025 Sum of Squares and 1.129 1.594 1.065 Covariance .125 .177 .118 N 10 10 10 Marine Pearson Correlation .882** .696* 1 Sig. (2-tailed) .001 .025 Sum of Squares and 1.185 1.065 1.470 Covariance .132 .118 .163 N 10 10 10 Table 22. Shows that Building sector has the highest ‘P’ value, thus uses Fibre composite materials the most **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). Upon correlation analysis, the sectors such as building shows p<0.5 with p=1 justifying the highest degree of positive correlation, Automotive sector shows relatively p=.802