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Which of the following statements are true about the line of best fit? Select all that apply.It can be called the least squares lineThere is no error between predicted values and the line of best fit:There is no error between actual values and the line of best fit.It has the smallest sum of squared residuals:It has the largest sum of squared residuals:It can be called the regression squared line:It has the smallest sum of cubed residuals:
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