Question

Which of the following is the preferred model to find the best fit line for a data set using linear regression?
Maximum likelihood

Least square error

Maximum likelihood and Logarithmic loss

Logarithmic loss

Answer 1

Answer:

The answer is a option B

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Answer 2

(b). The least-square error is the preferred model to the best fit line data set using linear regression.

Explanation:

• The regression line is chosen using the least-squares criterion. Because it is the line that fits best when drawn through the points, the regression line is also known as the "line of best fit." It's a line that reduces the difference between actual and anticipated scores.
• In linear regression, we try to minimize the least square errors of the model to identify the line of best fit.