$$ Gender $(1-$ M$,0-$F$)$ Age in Yrs$.$ Seniority Salary Salary increase for the last year Attrition Yr $2022$ min $0\mathrm{.}0021\mathrm{.}010\mathrm{.}0040105\mathrm{.}000\mathrm{.}000\mathrm{.}00$ max $1\mathrm{.}0059\mathrm{.}3936\mathrm{.}48199909\mathrm{.}000\mathrm{.}171\mathrm{.}00$ average $0\mathrm{.}4435\mathrm{.}136\mathrm{.}91121066\mathrm{.}810\mathrm{.}080\mathrm{.}11$ median $0\mathrm{.}0031\mathrm{.}934\mathrm{.}80122011\mathrm{.}000\mathrm{.}080\mathrm{.}00$ correlation with attrition $0\mathrm{.}070\mathrm{.}060\mathrm{.}05-0\mathrm{.}010\mathrm{.}051\mathrm{.}00$ correlation with seniority $-0\mathrm{.}070\mathrm{.}681\mathrm{.}00-0\mathrm{.}020\mathrm{.}020\mathrm{.}05.1.$ Based on your correlation analysis, which variables are positively related to attrition? And which variables are negatively related to attrition? How can you identify this? $(10$ marks$)$