An estimated multiple regression equation is:

y $=\backslash$beta $0+\backslash$beta $1($x$1)+\backslash$beta $2($x$2)+\backslash$beta $3$x$3$

Suppose that $\backslash$beta $1$ is equal to $2\mathrm{.}5.$ This coefficient estimate shows that:

A

after accounting for the influences of X$2$ and X$3,$ a one percent increase in X$1$ on average results in a $2\mathrm{.}5$ percent increase in Y

B

after accounting for the influences of X$2$ and X$3,$ a $2\mathrm{.}5$ point increase in X$1$ on average results in a $1\mathrm{.}0$ point increase in Y

C

after accounting for the influences of X$2$ and X$3,$ a one point increase in X $1$ on average results in a $2\mathrm{.}5$ percent increase in Y

D

after accounting for the influences of X$2$ and X$3,$ a one point increase in X$1$ on average results in a $2\mathrm{.}5$ point increase in Y