A catalog company builds a logistic regression $($LR$)$ model to predict the probability that a customer will buy from the catalog during a particular campaign $($mailing$).$ The LR model contains $2$ independent variables:$$ X$1=$ spend per year in $1000\text{'}$s of dollars $($so $$2000$ will be coded as X$1=2)$ and X$2=$ does customer possess a loyalty card $($X$2=1$ means customer has loyalty card, X$2=0$ means customer does not have the card$).$ Once the model is fitted, the LR coefficients are provided below:

Constant term $($BETA$0)$: $-2\mathrm{.}5($negative $2\mathrm{.}5)$

X$1$ coeff. $($BETA$1)$: $0\mathrm{.}6$

X$2$ coeff.$($BETA$2)$: $1\mathrm{.}7$

What is the ODDS Ratio for variable X$2?$

Group of answer choices

$0\mathrm{.}63$

$1\mathrm{.}7$

$3\mathrm{.}4$

$5\mathrm{.}47$