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Regression Final Score 100 Line 1 Line 2 80 60 40 50 50 70 80 90 100 Midterm Score These questions pertains to the scatter
Regression Final Score 100 Line 1 Line 2 80 60 40 50 50 70 80 90 100 Midterm Score These questions pertains to the scatter plot above which shows the midterm and final exam scores of 107 students. Average SD Midterm 83 Fina 73 Correlation=0.6 Which is the regression line? O Line 1 O Line 2 EXER Tries 0/1 Look at students A, B, C and D on the graph. How did their actual scores on the final compare to their predicted scores? For each student, decide whether their actual final exam scores were better than, worse than, or the same as the regression line predicted from their midterm scores. (HINT: Look at the regression line. If the point is above the regression line, the student did better than predicted, if below the line the student did worse. ) Student A Better Than Student B Worse Than Student C The Same As Student DWithout any information about a particular student's midterm score, what would you expect him to score on the nal exam? E33523\": Tries 0/3 Suppose you are told that the student has a midterm score of 74. Now what would you predict for his score on the nal exam? E Tries 0/ 3 If a student was exactly average on both the midterm and the nal, which line would he fall on? 0 Both 0 Only the Regression Line 0 Neither 0 Only the SD Line 11523852.\": Tries 0/ 3 If a student was exactly 1 SD above average on both the midterm and the nal, which line would he fall on? 0 Both 0 Only the so Line 0 Only the Regression Line 0 Neither 12324.3: Tries 0/ 3 If a new scatter plot was drawn with 10 pts. added to everyone's nal score, then the correlation between midterm and nal scores would do what? Assume the score can exceed 100. 0 decrease 0 stay the same 0 increase Tries 0/2 If a new scatter plot was drawn with 10% added to everyone's final score, then the correlation between midterm and final scores would do what? Assume the score can exceed 100. (Remember: Adding 10% is the same as multiplying by 1.1) decrease stay the same increase
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