$\backslash$table$[[,\backslash$table$[[$Cost Driver:$],[$Machine Hours $($X$)]],$IDML Costs $($Y$)],[$Week $1,68,$$$,1,190],[$Week $2,88,$$$,1,211],[$Week $3,62,$$$,1,004],[$Week $4,72,$$$,917],[$Week $5,60,$$$,770],[$Week $6,96,$$$,1,456],[$Week $7,78,$$$,1,180],[$Week $8,46,$$$,710],[$Week $9,82,$$$,1,316],[$Week $10,94,$$$,1,032],[$Week $11,68,$$$,752],[$Week $12,48,$$$,963]$

If $75$ machine hours is used, solve for the predicted IDML costs using the Regression method