Which offset is used to fit the least square line of linear regression

This is one of the basic questions asked in the interview related to linear regression.
๐๐ž๐ซ๐ฉ๐ž๐ง๐๐ข๐œ๐ฎ๐ฅ๐š๐ซ ๐จ๐Ÿ๐Ÿ๐ฌ๐ž๐ญ: Perpendicular distance of every data sample with the predicted line is calculated, and weights get updated accordingly.
๐•๐ž๐ซ๐ญ๐ข๐œ๐š๐ฅ ๐Ž๐Ÿ๐Ÿ๐ฌ๐ž๐ญ: Direct difference of prediction and the actual values are calculated and weights get updated accordingly.
With this explanation, one can easily guess the answer, which is "Vertical Offset".

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