Question regarding using Simple Linear Regression in predicting Estate price

Hi I am in week 1 of ML course and I have question regarding Simple Linear Regressing even though this question seems very silly but plz I request to explain it to me…

Instead of using Simple Linear Regression in predicting Estate price why don’t we use Unitary Method and find the price of 1 unit of area and average it using the past data and then predict the Estate price??

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That could work, except for these drawbacks.

  • Your predictions are limited to the average over the whole dataset. That is a very restrictive model.
  • That method only works if you have only one feature. What if you have 10 or 100 or 1000 features?
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It will not work in the case of 100 or 1000 features.

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