Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students
Classes Missed Final Grade
4 73
6 81
1 92
4 72
0 94
2 86
0 89
5 87
2 96
a) The correlation coefficient is given by
Take x as represents number of missed classes and y denotes final grades
using the data given we get
b) The null and the alternative hypothesis are
The value of the test static is
The test is left tailed test, number of degrees freedom is
So P-value
Since 0.032<0.05, we reject the null hypothesis.
There is sufficient evidence to support the claim that correlation coefficient is less than zero
c) There is negative correlation between the two
Suppose a teacher recorded the attendance of her students in a recent statistics class because she...
Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table showing missed classes and final grade. a. Calculate the correlation coefficient for this sample. The correlation coefficient is I. (Type an integer...
Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table showing missed classes and final grade. a. Using a =0.02, test the significance of the regression slope. The hypotheses for this test...
5 7 8 10 11 12 Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table showing missed classes and final grade. a. Calculate the correlation coefficient for this sample. The correlation...
Missed Classes Final Grade 4 75 6 80 1 91 4 71 0 95 2 83 0 91 5 86 2 96 Suppose a teacher recorded the attendance of her students in a recent statistics class because she wanted to investigate the linear relationship between the number of classes they missed and their final grades. The accompanying table shows these data for a random sample of nine students. Complete parts a through c. Click the icon to view the table...
D. Predict a final grade for student who missed six classesE. Calculate the SSTF. Partition the SST into the SSR and the SSESSR= and SSE=
the given table shows a relation between students attendance percentages and their final grades Week 8 Ašsignment: Performing Linear Regressions with Technology Excel The given table shows a relation between students' attendance percentages and their final grades. Find the best fit linear regression equation, where attendance is the explanatory variable. Round the slope and intercept to two decimal places. Attendance Percent Grade 90 94 30 62 40 63 60 70 67 78 70 85 95 96 79 90 54 67...
A teacher wants to predict a students grade average for her class cased on the number of hours that the student missed class.. She computes the regression equation to be y = - 2.5x + 105 a. What is the students predicted average if they miss 6 hours of class? b. The correlation coefficient for the problem is? Make an estimate, then explain what this means in terms of the situation? c. What does the slope mean in terms of the...
A teacher wants to predict a students grade average for her class cased on the number of hours that the student missed class.. She computes the regression equation to be y = -2.5x + 105 a. What is the students predicted average if they miss 6 hours of class b. The correlation coefficient for the problem is? Make an estimate, then explain what this means in terms of the situation c. What does the slope mean in terms of the...
8. A teacher wants to predict a students grade average for her class cased on the number of hours that the student missed class.. She computes the regression equation to be y -- 2.5x + 105 a. What is the students predicted average if they miss 6 hours of class? (5) b. The correlation coefficient for the problem is? Make an estimate, then explain what this means in terms of the situation? (5) c. What does the slope mean in...
A music teacher had noticed that some students went to pieces during exams. He wanted to test whether this performance anxiety was different for people playing different instruments. He took groups of guitarists, drummers and pianists (variable = ‘Instru’) and measured their anxiety (variable = ‘Anxiety’) during the exam. He also noted the type of exam they were performing (in the UK, musical instrument exams are known as ‘grades’ and range from 1 to 8). He wanted to see whether...