Following are the data on demand for white bread loaves at a bakery.

Day Loaves

$1210$

$2211$

$3214$

$4231$

$5234$

$6236$

$7244$

$8256$

$9255$

$10262$

$11286$

$12273$

$13286$

$14298$

$15311$

a$.$ Develop a linear trend equation for the above data on demand for white bread loaves at a bakery $($use of Excel$$s Trendline, with display Equation on chart option, is recommended$),$ and use it to forecast demand on day $16.($Round the final answers to $2$ decimal places.$)$

Y $=$

x $+$

Forecast demand on day $16$

b$.$ The variations around the linear trend line seem to have above$-$ and below$-$the$-$line runs. Therefore, use trend$-$adjusted exponential smoothing with $\backslash$alpha $=0\mathrm{.}2$ and $\backslash$beta $=0\mathrm{.}1$ to model the bread demand. Use the first four days to estimate the smoothed initial trend that you use for periods $4$ and $5($use the increase from day $1$ to day $4$ divided by $3).$ Also, use A$4$ to estimate S$4.$ Start forecasting day $5.$ What is the forecast for day $16?($Round the final answers to $2$ decimal places.$)$

Period TAFt

$5$

$6$

$7$

$8$

$9$

$10$

$11$

$12$

$13$

$14$

$15$

$16$

Forecast for day $16$