please help

From the following parallel coordinate plot, which R code do you think produced it?? 2 - 1 - -1 - -2. -3 PC1 PC2 PC3 PC4 PC5 plot of chunk unnamed-chunk-2 Select one: O a. ggparcoord(rates_pca$x[, 1:5], order="allClass") O b. ggparcoord(rates_pca$x[,1:5], scale="globalminmax") O c. ggparcoord(rates_pca$x[,1:5], order="anyClass") O d. ggparcoord(rates_pca$x[,1:5], order="skewness") O e. ggparcoord(rates_pca$x[,1:5], scale="uniminmax") O f. ggparcoord(rates_pca$x[, 1:5], scale="std")Compute the pooled variance-covariance, assuming that n1 = 22 and n2 = 27, where S is the overall variance-covariance, and S1, $2 are the variance-covariance for classes 1 and 2, respectively. S = [3 2] [2 4] S1 = [2 0.5] [0. 5 3] S2 = [1 0.6] [0. 6 2] Select one: O a. ((n1-1)$1+(n2-1)$2)/(n1+n2-2) O b. S/2 O c. none of these O d. ($1+$2) *2 O e. S Of. S1+S2/2The following is a density function for an observation, from class k = 1, . . ., K. PK (x ) = A ke- 1x Which of the following would be the Bayes decision rule for class k, assuming equal prior probability for each group? Assign new observation xo to the class with the highest value of Select one: O a. none of these Ob. SK Ek=lake-Axo O c. Ek=l Ake-dxo Ake- Axo O d. Ake-Axo Ekel Ake-Axo Oe. Are-dxo Of. Ek=l kake-Axo Take-Axo + log TK