Suppose you are working with a data set containing monthly water and electricity usage for each apartment in a large apartment complex. You are cleaning this data and you come across apartment 548, and see that the water usage for March 2019 is missing, and you have decided to try and estimate this missing value. Which of the following methods would be the most appropriate way to do so? 0 / 1 point Taking the electricity usage and other factors such as the size of apartment 548, and taking the median water usage of "comparable" apartments. Taking the average water usage in March 2019 of apartments 547 and 549. Taking the median monthly water usage across the entire apartment complex, over the past year. Decide that this is too difficult and instead delete the record for apartment 548