$2018201920202021$

$11,0099601,549660$

$21,5961,8911,5334,830$

$33,3941,9492,719810$

$43,6044,5621,5842,832$

$52,8838481,6013,275$

$61,0125913,6151,892$

$73,9924,3825,278196$

$8411,2322407,421$

$93,7688851,882783$

$101,4392,0031,2611,898$

$11595681,4462,107$

$124,1021,5292,4931,895$

$($a$)$ Create a line chart to depict the revenue time series at the annual level. What insight on beverage sales does this chart reveal?

Plotting beverage sales annually displays the longer$-$term

upward & downward

trend over the past four years.

$($b$)$ Create a line chart to depict the revenue time series at the quarterly level. What insight on beverage sales does this chart reveal?

Plotting beverage sales quarterly displays a

$-$ Select your answer $-$

pattern for this product, with the minimum sales at quarter

$-$ Select your answer $-$

$.$

$($c$)$ Create a line chart to depict the revenue time series at the monthly level. What insight on beverage sales does this chart reveal?

Plotting smartphone sales monthly emphasizes the amount of

$-$ Select your answer $-$

$-$term variability reinforcing to management that

$-$ Select your answer $-$

fluctuations should not necessarily cause an overreaction.

$($d$)$ Comparing the line charts created in parts $($a$),($b$),$ and $($c$)$ discuss the importance of choosing the level of aggregation for time$-$series data?

Comparison of the yearly, quarterly, and monthly line charts illustrate that

$-$ Select your answer $-$

patterns may be

$-$ Select your answer $-$

at different levels of aggregation.