Maggie owns several high$-$end boutique retail stores, and she anticipates her inventory value will be $$3\mathrm{.}1$ million dollars in $2023.$ As part of the risk management process, she wants to estimate the number of inventory thefts her business will incur in $2023$ based on her anticipated inventory value. Maggie has collected inventory theft data and inventory value data for her business for the years $2008$ to $2022.$ If Maggie undertakes a regression analysis using these data, what is the number of estimated theft claims she will incur in $2023?$

Year Inventory Value Number of Thefts

$2008$ $ $400,000\mathrm{.}0022$

$2009$ $ $490,000\mathrm{.}0025$

$2010$ $ $525,000\mathrm{.}0032$

$2011$ $ $650,000\mathrm{.}0034$

$2012$ $ $745,000\mathrm{.}0041$

$2013$ $ $920,000\mathrm{.}0044$

$2014$ $ $1,100,000\mathrm{.}0049$

$2015$ $ $1,352,000\mathrm{.}0053$

$2016$ $ $1,485,000\mathrm{.}0059$

$2017$ $ $1,923,000\mathrm{.}0068$

$2018$ $ $2,100,000\mathrm{.}0072$

$2019$ $ $2,352,000\mathrm{.}0081$

$2020$ $ $2,500,000\mathrm{.}0092$

$2021$ $ $2,753,000\mathrm{.}0099$

$2022$ $ $2,917,000\mathrm{.}00102$