The professor constructed a table of correlation coefficients between his scores and those of his TAS. Select the correct missing correlation.Teaching Assistant #1Teaching Assistant #2Professor Teaching Assistant #10.3210.40Based on the correlation table, the professor should arrive at which of the following conclusions?The professor and TA #2 are well calibrated, but TA #1 is off.The professor and both of his TAs are well calibrated.The two TAs are well calibrated with each other but not with the professor.The professor and TA #1 are well calibrated, but TA #2 is off.The professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to z-scores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scoreswillthe correlation between the professor's scores and TA #1's and TA #2's scores. Imagine that a professor of anthropology has two teaching assistants (TAS) who will help him grade assignments for the duration of the semester. Theprofessor wants to make sure that he and the TAs are well calibrated with one another, so he has all three of them grade the first assignmentindependently. Because the professor grades every assignment on a curve, he first converts the students' scores to z-scores for each grader. Thefollowing table shows the z-scores for a population of 10 students in his class for each grader.Student 1Student 2Student 3Student 4Student 5Student 6Student 7Student 8Student 9Student 10Professor1.27-1.63-0.120.88-1.030.32-1.461.140.580.06Teaching Assistant #1 Teaching Assistant #21.27-0.600.380.78-1.270.11-2.170.830.470.200.630.85-0.942.20-0.510.45-0.990.02-0.51-1.21The professor is going to use the z-scores to calculate the correlation coefficient between his scores and those of his TAS. To calculate the correlationcoefficient, he sums the products of the z-scores. The professor should divide this sum by

Given,a professor wants to test his two teaching assistants with their grading systems.To answer all…

Teaching Assistant #1 Teaching Assistant #2 Professor Teaching Assistant #1 0.32 1 0.40 ased on the correlation table, the professor should arrive at which of the following conclusions? The professor and TA #2 are well calibrated, but TA #1 is off. The professor and both of his TAS are well calibrated. O The two TAs are well calibrated with each other but not with the professor. O The professor and TA #1 are well calibrated, but TA #2 is off. he professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to cores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scores the correlation between the professor's scores and TA #1's and TA #2's scores. ill