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 106 students at random for the experiment. The estimated OLS regression is: Y , = 42.85 + 1.75X;, where Y; denotes the predicted value of the grades obtained by the /" student and X; denotes the number of classes the student attends. Let B, 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 2 days on the test scores. If the standard error of the estimated slope , is 0.70, the 95% confidence interval for B, 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 3 days on test scores could be as great as D or as little as D (Round your answers to m: decimal places.)