The net promoter score (NPS) is a key indicator of customer satisfaction and loyalty. Use data on
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The net promoter score (NPS) is a key indicator of customer satisfaction and loyalty. Use data on employees in the software product group with a college degree to develop the logistic regression model for predicting if a sales rep will score an NPS of 9 or more. Use cross-validation to select the appropriate predictor variables. In order to estimate this model, you have to first construct the (dummy) target variable, representing NPS ≥ 9 and subset the data to include only the employees who work in the software product group with a college degree.
Sales_Rep | Business | Age | Female | Years | College | Personality | Certficates | Feedback | Salary | NPS |
1 | Hardware | 59 | 1 | 2 | Yes | Diplomat | 1 | 2.01 | 70200 | 5 |
2 | Hardware | 52 | 0 | 10 | Yes | Diplomat | 4 | 3.64 | 133000 | 10 |
3 | Software | 47 | 1 | 1 | Yes | Explorer | 1 | 3.88 | 52600 | 8 |
4 | Hardware | 61 | 0 | 2 | Yes | Diplomat | 3 | 2.70 | 96000 | 6 |
5 | Software | 39 | 0 | 1 | No | Diplomat | 5 | 3.44 | 122000 | 7 |
6 | Hardware | 28 | 0 | 6 | Yes | Explorer | 1 | 2.43 | 60000 | 6 |
7 | Software | 25 | 1 | 1 | Yes | Explorer | 5 | 3.3 | 68000 | 6 |
8 | Hardware | 51 | 1 | 10 | No | Explorer | 0 | 2.15 | 43800 | 5 |
9 | Hardware | 34 | 0 | 4 | Yes | Diplomat | 2 | 2.91 | 92000 | 7 |
10 | Hardware | 38 | 1 | 1 | Yes | Explorer | 5 | 1.23 | 73400 | 6 |
11 | Software | 53 | 1 | 11 | Yes | Explorer | 2 | 3.93 | 93400 | 8 |
12 | Hardware | 41 | 1 | 1 | Yes | Sentinel | 1 | 2.26 | 51800 | 5 |
13 | Hardware | 40 | 0 | 1 | No | Diplomat | 4 | 3.60 | 116000 | 9 |
14 | Software | 41 | 0 | 2 | Yes | Explorer | 3 | 2.17 | 89000 | 6 |
15 | Hardware | 46 | 1 | 2 | Yes | Analyst | 1 | 4.00 | 61800 | 5 |
16 | Hardware | 38 | 1 | 4 | Yes | Diplomat | 1 | 2.37 | 57400 | 4 |
17 | Software | 39 | 0 | 2 | No | Sentinel | 2 | 3.00 | 57000 | 3 |
18 | Hardware | 52 | 1 | 1 | No | Sentinel | 0 | 2.72 | 50600 | 4 |
19 | Software | 54 | 1 | 2 | Yes | Explorer | 5 | 2.04 | 90200 | 9 |
20 | Hardware | 24 | 0 | 1 | Yes | Analyst | 1 | 2.66 | 39000 | 3 |
21 | Software | 53 | 0 | 1 | Yes | Explorer | 2 | 2.42 | 75000 | 6 |
22 | Hardware | 37 | 1 | 1 | Yes | Diplomat | 2 | 3.71 | 96600 | 9 |
23 | Software | 32 | 1 | 1 | Yes | Explorer | 3 | 3.42 | 61600 | 5 |
24 | Hardware | 33 | 0 | 2 | Yes | Explorer | 1 | 1.16 | 60000 | 4 |
25 | Software | 55 | 1 | 1 | Yes | Analyst | 1 | 1.99 | 53000 | 4 |
26 | Software | 27 | 1 | 2 | Yes | Diplomat | 6 | 2.93 | 73600 | 9 |
27 | Hardware | 58 | 1 | 2 | Yes | Explorer | 4 | 3.54 | 73400 | 7 |
28 | Software | 52 | 1 | 7 | Yes | Sentinel | 1 | 3.37 | 46600 | 3 |
29 | Software | 26 | 0 | 1 | Yes | Explorer | 2 | 3.29 | 77000 | 10 |
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Related Book For
Business Analytics
ISBN: 9781265897109
2nd Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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