When you calculate your regression line, you are:
Minimizing the sum of the errors
Finding the absolute value of the error terms and minimizing the sum of the absolute values
Finding the error for each observation, squaring the error and minimizing the sum
Answer:
When you calculate your regression line, you are: Finding the error for each observation, squaring the error and minimizing the sum
Explanation:
The regression is utilized to understand the association between independent variable and dependent variable.
Here we utilize the regression line for that , regression line is the stright line linear condition that can be utilized for prediction of values.this condition is discover utilizing the least square estimator.
Here least square is the strategy of squaring the error and minimizing the sum.
So we can compute the regression line utilizing the least square technique.
Therefore When you calculate your regression line, you are: Finding the error for each observation, squaring the error and minimizing the sum.
Hence the "Option - 3" is the correct answer.
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