Question: For a 2 D dataset analyzed with PCA, if the eigenvector for the first principal component ( PC 1 ) is ( 0 . 7

For a 2D dataset analyzed with PCA, if the eigenvector for the first
principal component (PC1) is (0.77,0.64) and you have two data points
A=(2,-1) and B=(-3,4), which of the following statements is true
regarding their projections onto PC1?
Both project equally onto the eigenvector
A projects further onto the eigenvector
than B
B projects further onto the eigenvector than A
It's impossible to determine without calculating the projections.
For a 2 D dataset analyzed with PCA, if the

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