Q$1.$ A finance manager of a regional car dealer would like to understand the relationship between newspaper advertising expenses $($in $$1000$ s$)$ and used car sales $($also in $$1000$ s$).$ He reviewed the store's data for the previous six months and found the following:

$\backslash$table$[[$Advertising$,$Sales$],[2\mathrm{.}3,176],[2\mathrm{.}2,182],[2\mathrm{.}9,223],[3\mathrm{.}1,237],[2\mathrm{.}4,192],[2\mathrm{.}7,165]]$

$(x_i-(\stackrel{}{x}){)}^2,(y_i-(\frac{?}{\text{b}\text{a}\text{r}}(y)){)}^2(x_i-(\stackrel{}{x}))(y_i-(\stackrel{}{x}))$

Calculate the mean of advertising and sales.

Calculate the standard deviation of advertising and sales.