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Read the following description of a data set.\newlineA professor wants to know if a student's first exam score can be used to accurately predict his or her final exam score.He looked at how some of his previous students did on their first exam, xx. He also looked at their final exam scores, yy. Both exams were graded out of 100100.The least squares regression line of this data set is:y=1.024x50.727y = 1.024x - 50.727\newlineComplete the following sentence:\newlineThe least squares regression line predicts that if a student got an additional point on the first exam, their final exam score would be ___ points higher.

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Q. Read the following description of a data set.\newlineA professor wants to know if a student's first exam score can be used to accurately predict his or her final exam score.He looked at how some of his previous students did on their first exam, xx. He also looked at their final exam scores, yy. Both exams were graded out of 100100.The least squares regression line of this data set is:y=1.024x50.727y = 1.024x - 50.727\newlineComplete the following sentence:\newlineThe least squares regression line predicts that if a student got an additional point on the first exam, their final exam score would be ___ points higher.
  1. Identify slope: Identify the slope of the regression line.\newlineThe slope of the regression line is the coefficient of xx in the equation y=1.024x50.727y = 1.024x - 50.727. This coefficient represents the change in the final exam score (yy) for each additional point on the first exam (xx).
  2. Interpret slope: Interpret the slope.\newlineThe slope of 1.0241.024 means that for each additional point a student scores on the first exam, the predicted increase in their final exam score is 1.0241.024 points.
  3. Check for errors: Check for any mathematical errors.\newlineThere are no calculations to perform since the slope is given directly in the equation. Therefore, there is no mathematical error in interpreting the slope as the increase in the final exam score per additional point on the first exam.

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