A dataset contains information on lifestyle measures such as the price of a bottle of water, hours worked, and happiness levels for $44$ major cities around the world. Using factor analysis, three factors were calculated for hours worked x$1,$ cost of gym membership x$2.$ price of a bottle of water x$3,$ and happiness x

Q

$-=0\mathrm{.}90$F$,+0\mathrm{.}30$F$2-0\mathrm{.}36$F$3+1$

X$2-2=-0\mathrm{.}09$F $+0\mathrm{.}98$F$2+0\mathrm{.}17$F$3+2$

X$343=-0\mathrm{.}80$F$1+0\mathrm{.}19$F$20\mathrm{.}23$F$3+3$

$-=-0\mathrm{.}51$F $+0\mathrm{.}05$F$2-0\mathrm{.}30$F$3+4$

What is the unique variance of the price of a bottle of water?

$0\mathrm{.}73$

$-0\mathrm{.}66$

$0\mathrm{.}27$

$0\mathrm{.}86$