please I need answer part (b)

Q2: a) Explain, the principal component analysis (specify the notations clearly) and its potential applications [5 Marks] b) See below the summary of output of principal component analysis of IRIS data. Explain this output to a non-statistician and what conclusions can be made. [5 Marks] > fit standard deviations (1, . . , p=4): [1] 2.0562689 0.4926162 0.2796596 0.1543862 Rotation (n x k) = (4 x 4): P01 PC2 P03 PC4 Sepal.Length 0.36138659 -0.65658877 0.58202985 0.3154872 SepalJJidth -0.08452251 -0.73016143 -0.59791083 -0.3197231 Petal.Length 0.85667061 0.17337266 -0.07623608 -0.4798390 Petal.Width 0.35828920 0.07548102 -0.54583143 0.7536574 > summary(fit) Importance of components: P01 PC2 P03 PC4 Standard deviation 2.0563 0.49262 0.2797 0.15439 Proportion of Variance 0.9246 0.05307 0.0171 0.00521 Cumulative Proportion 0.9246 0.97769 0.9948 1.00000