The objective of Linear regression is to __________ (d1 + d2 + d3 + d4) where d1, d2, d3 and d4 represents the sum of squared vertical distances between observed and predicted values respectively.
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Hello! you're answer is Minimize.
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- As we know that the objective of linear regression is to minimize the sum of the square of residuals.
- We can find out an estimated line that is as close as possible to the true line.
- For this, we just need to minimize the distance between the true line and the estimated line.
- So that the objective of Linear regression is to minimize (d1 + d2 + d3 + d4) where d1, d2, d3, and d4 represent the sum of squared vertical distances between observed and predicted values respectively.
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