1. Department vs Leaving

Chi Square Test

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  14999 
## 
##  
##               | hr$left 
## hr$Department |         0 |         1 | Row Total | 
## --------------|-----------|-----------|-----------|
##    accounting |       563 |       204 |       767 | 
##               |     0.783 |     2.506 |           | 
##               |     0.734 |     0.266 |     0.051 | 
##               |     0.049 |     0.057 |           | 
##               |     0.038 |     0.014 |           | 
## --------------|-----------|-----------|-----------|
##            hr |       524 |       215 |       739 | 
##               |     2.709 |     8.670 |           | 
##               |     0.709 |     0.291 |     0.049 | 
##               |     0.046 |     0.060 |           | 
##               |     0.035 |     0.014 |           | 
## --------------|-----------|-----------|-----------|
##            IT |       954 |       273 |      1227 | 
##               |     0.391 |     1.252 |           | 
##               |     0.778 |     0.222 |     0.082 | 
##               |     0.083 |     0.076 |           | 
##               |     0.064 |     0.018 |           | 
## --------------|-----------|-----------|-----------|
##    management |       539 |        91 |       630 | 
##               |     7.250 |    23.202 |           | 
##               |     0.856 |     0.144 |     0.042 | 
##               |     0.047 |     0.025 |           | 
##               |     0.036 |     0.006 |           | 
## --------------|-----------|-----------|-----------|
##     marketing |       655 |       203 |       858 | 
##               |     0.002 |     0.008 |           | 
##               |     0.763 |     0.237 |     0.057 | 
##               |     0.057 |     0.057 |           | 
##               |     0.044 |     0.014 |           | 
## --------------|-----------|-----------|-----------|
##   product_mng |       704 |       198 |       902 | 
##               |     0.408 |     1.307 |           | 
##               |     0.780 |     0.220 |     0.060 | 
##               |     0.062 |     0.055 |           | 
##               |     0.047 |     0.013 |           | 
## --------------|-----------|-----------|-----------|
##         RandD |       666 |       121 |       787 | 
##               |     7.346 |    23.510 |           | 
##               |     0.846 |     0.154 |     0.052 | 
##               |     0.058 |     0.034 |           | 
##               |     0.044 |     0.008 |           | 
## --------------|-----------|-----------|-----------|
##         sales |      3126 |      1014 |      4140 | 
##               |     0.255 |     0.815 |           | 
##               |     0.755 |     0.245 |     0.276 | 
##               |     0.274 |     0.284 |           | 
##               |     0.208 |     0.068 |           | 
## --------------|-----------|-----------|-----------|
##       support |      1674 |       555 |      2229 | 
##               |     0.348 |     1.114 |           | 
##               |     0.751 |     0.249 |     0.149 | 
##               |     0.146 |     0.155 |           | 
##               |     0.112 |     0.037 |           | 
## --------------|-----------|-----------|-----------|
##     technical |      2023 |       697 |      2720 | 
##               |     1.178 |     3.771 |           | 
##               |     0.744 |     0.256 |     0.181 | 
##               |     0.177 |     0.195 |           | 
##               |     0.135 |     0.046 |           | 
## --------------|-----------|-----------|-----------|
##  Column Total |     11428 |      3571 |     14999 | 
##               |     0.762 |     0.238 |           | 
## --------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  86.82547     d.f. =  9     p =  7.04213e-15 
## 
## 
## 

Chi-Square Intreptation

There is a association between department and leaving

Technical Intreptation

The p-value is very small, therefore the probability of these results being random is very small

Non-Technical Intreptation

Depending on the department you are in it will impact if you leave or not

Graph

2. Promotion vs Leaving

Chi Square Test

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  14999 
## 
##  
##                          | hr$left 
## hr$promotion_last_5years |         0 |         1 | Row Total | 
## -------------------------|-----------|-----------|-----------|
##                        0 |     11128 |      3552 |     14680 | 
##                          |     0.290 |     0.928 |           | 
##                          |     0.758 |     0.242 |     0.979 | 
##                          |     0.974 |     0.995 |           | 
##                          |     0.742 |     0.237 |           | 
## -------------------------|-----------|-----------|-----------|
##                        1 |       300 |        19 |       319 | 
##                          |    13.343 |    42.702 |           | 
##                          |     0.940 |     0.060 |     0.021 | 
##                          |     0.026 |     0.005 |           | 
##                          |     0.020 |     0.001 |           | 
## -------------------------|-----------|-----------|-----------|
##             Column Total |     11428 |      3571 |     14999 | 
##                          |     0.762 |     0.238 |           | 
## -------------------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  57.26273     d.f. =  1     p =  3.813123e-14 
## 
## Pearson's Chi-squared test with Yates' continuity correction 
## ------------------------------------------------------------
## Chi^2 =  56.26163     d.f. =  1     p =  6.344155e-14 
## 
## 

Chi-Square Intreptation

There is a association between Promotion and leaving

Technical Intreptation

The p-value is very small, therefore the probability of these results being random is very small

Non-Technical Intreptation

Depending on if you get a promotion or not will impact if you get promoted

Graph

3. Work Accident vs Leaving

Chi-Square Test

## 
##  
##    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 
## 
## Pearson's Chi-squared test with Yates' continuity correction 
## ------------------------------------------------------------
## Chi^2 =  357.5624     d.f. =  1     p =  9.55824e-80 
## 
## 

Chi-Square Intreptation

There is an association between leaving and work accidents.

Technical Interpretation

There is an association between leaving and work accidents, where employees without accidents are more likely to leave

Non-Technical Interpretation

Employees without work accidents are more than 3 times more likely to leave (0.265 / 0.078)

Graph

4. Salary vs Leaving

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  14999 
## 
##  
##              | hr$left 
##    hr$salary |         0 |         1 | Row Total | 
## -------------|-----------|-----------|-----------|
##         high |      1155 |        82 |      1237 | 
##              |    47.915 |   153.339 |           | 
##              |     0.934 |     0.066 |     0.082 | 
##              |     0.101 |     0.023 |           | 
##              |     0.077 |     0.005 |           | 
## -------------|-----------|-----------|-----------|
##          low |      5144 |      2172 |      7316 | 
##              |    33.200 |   106.247 |           | 
##              |     0.703 |     0.297 |     0.488 | 
##              |     0.450 |     0.608 |           | 
##              |     0.343 |     0.145 |           | 
## -------------|-----------|-----------|-----------|
##       medium |      5129 |      1317 |      6446 | 
##              |     9.648 |    30.876 |           | 
##              |     0.796 |     0.204 |     0.430 | 
##              |     0.449 |     0.369 |           | 
##              |     0.342 |     0.088 |           | 
## -------------|-----------|-----------|-----------|
## Column Total |     11428 |      3571 |     14999 | 
##              |     0.762 |     0.238 |           | 
## -------------|-----------|-----------|-----------|
## 
##  
## Statistics for All Table Factors
## 
## 
## Pearson's Chi-squared test 
## ------------------------------------------------------------
## Chi^2 =  381.225     d.f. =  2     p =  1.652087e-83 
## 
## 
## 

Chi-Square Intreptation

There is an assocaitoin between salaries and employees leaving.

Technical Interpretation

The p-value is very small, indicating a significant association between salary level and employee attrition.

Non-Technical Interpretation

Employees with lower salaries are more likely to leave the company, while those with higher salaries tend to stay

Graph