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These are the questions, but I don't know if my answers are correct or not. Say we want a model that will help explain the

These are the questions, but I don't know if my answers are correct or not.

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Say we want a model that will help explain the relationship between a student's exam grade and their attendance. Below are two defined variables, a regression equation and two example data points. Variables: Grd = Exam grade in % Abs = Number of absences during semester Regression Equation: Grd" = 85.3 - 5.4*Abs Two example data points (observations): A student that was absent 5 times and got 70% on the exam A student that was absent 9 times and got 42% on the exam (a) Find the predicted value of exam grade (Grd') for the student that was absent 5 times to 1 decimal place. Predicted exam grade for the student that was absent 5 times = 58.3 % (1dp) (b) The student that was absent 9 times would have a predicted exam grade of 36.7%. What is the residual for this observation to 1 decimal place? Residual for student that was absent 9 times = 5.3 % (1dp) (c) Interpret the slope in context. When the number of absences increases by 1 we predict that the exam grade will decrease by 5.4% s (d) Interpret the intercept in context. A When the number of absences is O we predict that the exam grade will be 85.3%. v A This is meaningful in context because it is an interpolation v

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