And then to find the best line this is where predicted y


Question:

When explaining regression, the textbook states that a challenge of the process is to find the best-fitting line. Does this mean that there can be multiple lines that can be given within a regression example? And then to find the best line, this is where predicted Y and residual that is unaccounted for is used?

Are coefficients the key to finding what regression line is?

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Basic Statistics: And then to find the best line this is where predicted y
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