Historical demand for a product is given below. The regression equation for forecasting is

y $=201\mathrm{.}67-9\mathrm{.}86$x $($where x is time$).$ What is the forecast for September?

$($carry to $2$ decimal places$)$

Time

Month

Demand

$1$

January

$192\mathrm{.}00$

$2$

February

$181\mathrm{.}00$

$3$

March

$174\mathrm{.}00$

$4$

April

$161\mathrm{.}00$

$5$

May

$152\mathrm{.}00$

$6$

June

$143\mathrm{.}00$