A professor wants to understand the relationship between students' class attendance (X) and the grades that the students secure in the final exam (Y). The professor selects 100 students at random for the experiment The estimated OLS regression is: ,= 42.85 +1.85X where denotes the predicted value of the grades obtained by the student and X, denotes the number of classes the student attends Let Ax represent the predicted change in the test score associated with a small change in the attendance (Ax) Suppose that the professor wants to see the effect of a fall in attendance by 5 days on the test scores. If the standard error of the estimated slope, is 0.70, the 95% confidence interval for , Ax will be (Round your answers to two decimal places. Enter a minus sign if your answers are negative.) A 95% confidence interval for the effect of increasing the attendance by 6 days on test scores could be as great as or as little as (Round your answers to two decimal places.)