You have collected a regression dataset with a total of d features. After applying linear regression,

you obtained the set of optimal weights $\{$w$\_(0),$w$\_(1),$w$\_(2),$w$\_(3)$dotsw$\_($d$)\}.$ While keeping the output intact, if

we scale all the feature values by $2($multiply each dataset entry by $2$ ; excluding the output

values$),$ what will be the new optimal weights for this linear model?