00:01
So, in this question there are three parts given and we have to answer one by one each of the part that ask in this question.
00:08
So, the a part is related to the principal component pc that explain the most variant is pc1 as it has the highest standard deviation and proportion of variance.
00:21
So, conversely pc6 explains the least variance according to the questions.
00:37
Now, here we have to conclude that pc1 explains the most variance and pc6 explains the least variance.
00:46
Now, coming to the d part of this question.
00:49
So, to decide how many principal components to use for subsequent modeling.
00:54
So, here you can use a scree plot and in a scree plot you typically look for an elbow point where the eigenvalues drop off and in this case it appears that the drop off occurs after the second principal components pc2.
01:10
Therefore, you might choose the use of first two principal components for subsequent modeling...