An analyst is interested in the relationship between number of cups of coffee consumed before an exam (the independent variable) and exam grade (the dependent variable). She regresses exam GRADE on number of CUPS of coffee. The equation for the best-fitting straight line is
GRADE = 90 − 10(CUPS)
A) One student had six cups of coffee. What was that student's predicted grade?
B) If one student had no coffee and received a grade of 95, what was that student's regression residual?
C) Does the best fitting straight line through the scatterplot rise or fall as it moves to the right? (rise or fall)

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The Answer of An analyst is interested in the relationship between number of cups of coffee consumed before an exam (the independent variable) and exam grade (the dependent variable). She regresses exam GRADE on number of CUPS of coffee. The equation for the best-fitting straight line is
GRADE = 90 − 10(CUPS)
A) One student had six cups of coffee. What was that student's predicted grade?
B) If one student had no coffee and received a grade of 95, what was that student's regression residual?
C) Does the best fitting straight line through the scatterplot rise or fall as it moves to the right? (rise or fall)

An Analyst Is Interested in the Relationship Between Number of Cups