If we obtain $4$ Principal Components from PCA $($from a $4-$dimensional original dataset$)$ and the percentage of variance explained by each of them is $55\%,20\%,15\%$ and $10\%$ respectively, how many Principal Components would we really require to explain $75\%$ of the variance in our dataset?

Answer choices

Select an option

$1$

$2$

$3$

$4$