So I have data that has some illogical entries, in the picture below you can see a person with 11 years in the company and he takes 100 dollars, this is for sure wrong and should be removed right?
The person under them has almost the same attributes but yet he gets 1800 dollars. The data that I'm showing in the picture is looking really bad right? At index 1479 the person has 16 years in the company yet he only gets 191 dollars.
Should I make some equation to remove those bad observations depending on Service Period and salary for example? Or should I keep them and they are normal? Will removing illogical observations like these improve my model?