SUMMARY OUTPUT

$\backslash$table$[[$Regression Statistics$],[$Multiple R$,0\mathrm{.}98,,,,,],[$R Square,$0\mathrm{.}96,,,,,],[$Adjusted R Square,$0\mathrm{.}95,,,,,],[$Standard Error,$3\mathrm{.}3,,,,,],[$Observations$,35,,,,,],[,$Coefficients,Standard Error,t Stat,$P-$value,Lower $95\%,$Upper $95\%],[$Intercept$,170\mathrm{.}03,3\mathrm{.}19,53\mathrm{.}16,0\mathrm{.}00,163\mathrm{.}53,176\mathrm{.}54],[$Price$,-22\mathrm{.}48,0\mathrm{.}74,-30\mathrm{.}11,0\mathrm{.}00,-24\mathrm{.}01,-20\mathrm{.}96]]$

Using Excel, the manager of Quick Breaks Coffees has estimated the daily demand function for its regular coffees; the results are shown in the table. Which of the following statements is correct?

A$.$ The manager can be $99$ percent confident that the price of coffees affects the quantity demanded.

B$.$ The manager can be $99$ percent confident that the true slope coefficient for price is equal to zero.

C$.$ The $99$ percent critical value exceeds the $t-$statistic for the estimated slope coefficient.

D$.$ The $95$ percent critical value exceeds the $t-$statistic for the estimated slope coefficient.