Assignment 9
Conrad Tobiassen
2025-04-03
1 Does Getting A Promotion In The Last 5 Years Effect If The Employee Will Leave?
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hr$promotion_last_5years
## hr$left | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 11128 | 300 | 11428 |
## | 0.290 | 13.343 | |
## | 0.974 | 0.026 | 0.762 |
## | 0.758 | 0.940 | |
## | 0.742 | 0.020 | |
## -------------|-----------|-----------|-----------|
## 1 | 3552 | 19 | 3571 |
## | 0.928 | 42.702 | |
## | 0.995 | 0.005 | 0.238 |
## | 0.242 | 0.060 | |
## | 0.237 | 0.001 | |
## -------------|-----------|-----------|-----------|
## Column Total | 14680 | 319 | 14999 |
## | 0.979 | 0.021 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 57.26273 d.f. = 1 p = 3.813123e-14
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## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 56.26163 d.f. = 1 p = 6.344155e-14
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## Technical:
There is a dependency between getting a promotion in the last 5 years and if the employee left there job
Non_Technical:
Those who did not get a promotion are almost 4 times as likely to leave
2 Does Having A Work Accident Effect if you leave
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##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hr$Work_accident
## hr$left | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 9428 | 2000 | 11428 |
## | 12.346 | 73.029 | |
## | 0.825 | 0.175 | 0.762 |
## | 0.735 | 0.922 | |
## | 0.629 | 0.133 | |
## -------------|-----------|-----------|-----------|
## 1 | 3402 | 169 | 3571 |
## | 39.510 | 233.709 | |
## | 0.953 | 0.047 | 0.238 |
## | 0.265 | 0.078 | |
## | 0.227 | 0.011 | |
## -------------|-----------|-----------|-----------|
## Column Total | 12830 | 2169 | 14999 |
## | 0.855 | 0.145 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 358.5938 d.f. = 1 p = 5.698673e-80
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## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 357.5624 d.f. = 1 p = 9.55824e-80
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## Technical
There is a dependency between having a workplace accident and leaving the company
Non-Technical
Employees that had a work place accident are about 1/3 less likely to leave the company
3 How does working in sales compare to other departments?
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##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hrsales$sales
## hrsales$left | no | yes | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 8302 | 3126 | 11428 |
## | 0.097 | 0.255 | |
## | 0.726 | 0.274 | 0.762 |
## | 0.765 | 0.755 | |
## | 0.554 | 0.208 | |
## -------------|-----------|-----------|-----------|
## 1 | 2557 | 1014 | 3571 |
## | 0.311 | 0.815 | |
## | 0.716 | 0.284 | 0.238 |
## | 0.235 | 0.245 | |
## | 0.170 | 0.068 | |
## -------------|-----------|-----------|-----------|
## Column Total | 10859 | 4140 | 14999 |
## | 0.724 | 0.276 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 1.477012 d.f. = 1 p = 0.2242427
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 1.425351 d.f. = 1 p = 0.2325247
##
## Technical:
There is no dependence between being in the sales department and leaving the company.
Non-Technical:
Being in the Sales department Does Not effect the odds of an employee leaving
4 Are Those with a low salary more likely to leave?
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##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 14999
##
##
## | hrlow$low_Sal
## hrlow$left | no | yes | Row Total |
## -------------|-----------|-----------|-----------|
## 0 | 6284 | 5144 | 11428 |
## | 31.614 | 33.200 | |
## | 0.550 | 0.450 | 0.762 |
## | 0.818 | 0.703 | |
## | 0.419 | 0.343 | |
## -------------|-----------|-----------|-----------|
## 1 | 1399 | 2172 | 3571 |
## | 101.172 | 106.247 | |
## | 0.392 | 0.608 | 0.238 |
## | 0.182 | 0.297 | |
## | 0.093 | 0.145 | |
## -------------|-----------|-----------|-----------|
## Column Total | 7683 | 7316 | 14999 |
## | 0.512 | 0.488 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 272.232 d.f. = 1 p = 3.702208e-61
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 271.5996 d.f. = 1 p = 5.085079e-61
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## Technical:
There is a dependence between having a low salary and leaving the company
Non-Technical:
Those with a lower salary are more than 1.5 times as likely to leave
