Problem 4-11 18M employs a network of expert analytics consultants for various p
ID: 3059415 • Letter: P
Question
Problem 4-11 18M employs a network of expert analytics consultants for various projects. To help it determine how to distribute its bonuses, [BM wants to form groups of employees with similar performance according to key performance metrics. Each observation (corresponding to an employsa) in tha file Biglve consists of values for: () geRate which correspands to the proportian of time that the amplayee has been actively warking on high priority projects, (2) Rocognition which is the number of projects for which the employsa was specifically requested, and3)Leader which is the number of projects on which the employee has served as praject leader Apply k-means clustering with for values of K-2…·7. Be sure to Normalize Input Data and specify 50 lterations and 10 random starts in 5tep 2 of the XLMiner k-Means austering procedure. Click on the datafile logo to referente the data. DATA file Haw many dusters do yau recammend using to categorize the amplayees? select vour answer- TwO Three Four Il not be graded, but may be reviewed and considered by your instructor. Six SevenExplanation / Answer
Problem 4-11 18M employs a network of expert analytics consultants for various projects. To help it determine how to distribute its bonuses, [BM wants to form groups of employees with similar performance according to key performance metrics. Each observation (corresponding to an employsa) in tha file Biglve consists of values for: () geRate which correspands to the proportian of time that the amplayee has been actively warking on high priority projects, (2) Rocognition which is the number of projects for which the employsa was specifically requested, and3)Leader which is the number of projects on which the employee has served as praject leader Apply k-means clustering with for values of K-2…·7. Be sure to Normalize Input Data and specify 50 lterations and 10 random starts in 5tep 2 of the XLMiner k-Means austering procedure. Click on the datafile logo to referente the data. DATA file Haw many dusters do yau recammend using to categorize the amplayees? select vour answer- TwO Three Four Il not be graded, but may be reviewed and considered by your instructor. Six Seven
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