The table provided below represents the absolute deviations for each forecast prepared by the analyst.

Absolute Deviations for

Forecast $1$

$($a $=0,2)$

Absolute Deviations for

Forecast $2$

$($a $=0,5)$

Absolute Deviations for

Forecast $3$

$($a $=0,8)$

Year Sales, $($R

millions$)$ Sales, $($R millions$)$ Sales, $($R millions$)$ Sales, $($R millions$)$

$201313---$

$201419---$

$2015249\mathrm{.}886\mathrm{.}2$

$20163013\mathrm{.}84107\mathrm{.}24$

$20174021\mathrm{.}071511\mathrm{.}45$

$201845$ N $12\mathrm{.}57\mathrm{.}29$

$2019280\mathrm{.}4910\mathrm{.}7515\mathrm{.}54$

$20201710\mathrm{.}61$ Q $14\mathrm{.}11$

$2021205\mathrm{.}495\mathrm{.}190\mathrm{.}18$

$2022222\mathrm{.}390\mathrm{.}59$ S

$20233612\mathrm{.}0913\mathrm{.}7014\mathrm{.}41$

Using the forecasts for the $20152023$ period, calculate the mean absolute deviation $($MAD$)$ for

Forecast $1,$ Forecast $2$ and Forecast $3.$

A$.$ The MAD for Forecast $1,$ Forecast $2,$ and Forecast $3$ are $10\mathrm{.}85$ million, $8\mathrm{.}72$ million, and $9\mathrm{.}27$ million,

respectively.

B$.$ The MAD for Forecast $1,$ Forecast $2,$ and Forecast $3$ are $10\mathrm{.}85$ million, $10\mathrm{.}23$ million and $8\mathrm{.}72$ million,

respectively.

C$.$ The MAD for Forecast $1,$ Forecast $2,$ and Forecast $3$ are $10\mathrm{.}23$ million, $8\mathrm{.}72$ million, and $9\mathrm{.}27$

respectively.

D$.$ The MAD for Forecast $1,$ Forecast $2,$ and Forecast $3$ are $10\mathrm{.}23$ million, $9\mathrm{.}27$ million, and $10\mathrm{.}85$ million,

respectively.