What is the primary consequence of dropping rows with missing values?

Explanation

Dropping rows with missing values, known as listwise deletion, directly reduces the number of observations in the dataset. While it may sometimes introduce bias if the data is not missing completely at random, the most immediate and certain consequence is the reduction in the total count of available data points.

Key points

Listwise deletion reduces sample size
May introduce bias if data is not missing at random
Simplest method for handling missing data

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