The objective function for linear regression is also known as cost function.
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Answer:
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Explanation:
Linear regression is the approach or the way of the linear in order to modeling the relationship among the scalar response and one or more variables of the explanatory.
The cost function is known as the squared error function as it used for the cost function for the linear regression as it performs well as well as it is simple.
The learning objective is to minimize the function of the cost. Therefore, the objective function for the linear regression is called as the cost function.
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