I am interested in the relationship between exam 1 score (measured in percent) and exam 2 score (measured in percent) for an introductory statistics course at a large state university. To examine the relationship between these two variables, I took a random sample of students that completed the introductory statistics course at this particular university, and recorded their exam1 and exam 2 grades. I then fit a least squares regression line using exam 2 score as the response and exam 1 score as the explanatory variable. Shown on the following page is some partial MINITAB output. Use this output to answer the following questions.

Scatterplot of Exam2 vs Exam1 100 Exam2 50 30 40 50 60 80 90 100 Exam1Regression Analysis: Exam2 versus Exam 1 Analysis of Variance Source DF Adj SS Adj MS F-Value Regression 1 10423 10422.6 XX Error XX XX XX Total 61 24057Prediction for Exam2 Regression Equation Exam2 = -7.5 + 1. 124 Examl Variable Setting Examl 65 Fit SE Fit 95% CI 95% PI 65. 4913 2. 45021 (XX, XX) (XX, XX)F