The following data represent the number of flash drives sold per day at a local computer shop and their prices.

They recently hired a high school intern and he added an observation to the original data set.

Price $($x$)$ Units Sold $($y$)$

$$343$

$364$

$326$

$355$

$309$

$382$

$411$

$4030$

Use Excel to rerun the regression of Units Sold on price. Does a residual plot indicate that any of the $4$ regression assumptions are violated.

$4.$ Question $4$ options:

Yes, there appears to be an outlier and there is a clear cone shaped pattern

Yes, the independence assumption is violated

No$,$ all $4$ assumptions are still met

Yes, there is an outlier, but no cone$-$shaped pattern

$5.$ Use Excel to rerun the regression of Units Sold on price. What is the most likely explanation for the intern's error

Question $5$ options:

He probably entered a $30$ instead of $3$

He probably entered $40$ instead of $4$

He made no error

He entered $30$ instead of $300$

$6.$ Use Excel to rerun the regression of Units Sold on price. What is the new estimated regression equation?

Question $6$ options:

Units sold $=-11\mathrm{.}87+0\mathrm{.}54$ Price

Units sold $=0\mathrm{.}54-11\mathrm{.}87$ Price

Units sold $=0\mathrm{.}54$ Price

Price $=-11\mathrm{.}87+0\mathrm{.}54$ Units Sold