Sent: Tuesday, October $6,202012$:$04$

To: HR Analytics

Subject: Question about Baristas

Hi$,$

We need some help getting a better grasp on what$$s going on with absenteeism among the baristas. Some baristas seem to make it for every shift and rarely show up late, while others are giving our managers fits. See what you can do with the data we have to find some early warnings signs.

You can e$-$mail my assistant once you$$re done and we$$ll set up a time to talk through your recommendations.

Best,

Sophie

Vice President, Operations

Starbucks

To successfully complete this assignment, and the mid$-$term, you will need to apply the concepts and techniques that we have discussed so far this semester.

Instructions

Once you begin the exam, you will have access to a hypothetical dataset containing people$-$related data for barisatas at Starbucks. You can assume that these data are accurate and based on archival information in Starbucks' HRIS. The data will be in a Jamovi file $(.$csv$)$ and will feature the following variables:

Variable

Description

$1.$ EmployeeID

Numeric identifier that is unique for each barista

$2.$ Absent

Number of days that a barista has missed work or shown up late in the past calendar year

$3.$ Age

Age of baristas $($in years$)$

$4.$ Gender

$0=$ Female; $1=$ Male

$5.$ PosType

$0=$ Part$-$time; $1=$ Full$-$time

$6.$ StoreSales

Amount of revenue per year at store $($in dollars, $$)$

$7.$ Tenure

Length of time working as a barista at Starbucks $($in years$)$