Figure $7-7$ depicts what type of statistical forecasting $($line A$)?$

A line graph of Xerox sales data from $1988$ through $2022.$The graph shows the actual values before the sales forecast is made, a point marked A$,$ and the actual values after the sales forecast is made. The horizontal axis represents year ranging from $1988$ to $2022$ in increments of $2,$ while vertical axis represents sales revenues $($billions dollars$)$ ranging from $0$ to $38$ in increments of $2$ after $10.$The graph shows actual from $1988$ to $2000$ and forecast from $2000$ to $2022.$ The upward sloping line begins in $1988$ at $12$ and ends in $2022$ at $36$ passing through the coordinates $(1988,12),(1990,13),(1995,16),(1996,17),(1999,20),(2000,20\mathrm{.}2),(2001,21),(2002,21\mathrm{.}8),(2003,22\mathrm{.}2),(2004,23\mathrm{.}2),(2005,24\mathrm{.}0),(2006,24\mathrm{.}2),(2007,25\mathrm{.}2),(2008,26\mathrm{.}0),(2009,26\mathrm{.}3),(2010,27\mathrm{.}4),(2011,28\mathrm{.}0),(2012,28\mathrm{.}5),(2013,29\mathrm{.}0),(2014,29\mathrm{.}8),(2015,30\mathrm{.}2),(2016,31),(2017,32),(2018,32\mathrm{.}2),(2019,33\mathrm{.}8),(2020,34),(2021,35),$ and $(2022,36).$The curve begins in $1988$ at $12$ and ends in $2019$ at $10$ passing through the coordinates $(1989,12),(1990,13),(1991,13),(1992,14),(1993,14),(1994,15),(1995,16),(1996,17),(1997,18),$ and $(1999,20)$ which are on and below the linear trend, $(1998,20)$ which is above the linear trend, and $(2000,18),(2001,17),(2002,16),(2003,16),(2004,16),(2005,16),(2006,16),(2007,17),(2008,18),(2009,14),(2010,20),(2011,22),(2012,20),(2013,20),(2014,20),(2015,11\mathrm{.}5),(2016,10\mathrm{.}5),(2017,10),(2018,9\mathrm{.}5),$ and $(2019,9\mathrm{.}5),$ showing a decreasing trend after $1999.$Note: All data is approximate.

Figure $7-7$

Multiple Choice

non$-$parametric regression

causal analysis

linear trend extrapolation

infinite dimension

curvilinear extrapolation