College protests of labor exploitation. Refer to the Journal of World-Systems Research (Winter 2004) study of student “sit-ins” for a “sweat-free campus” at universities, presented in Exercise.
College protests of labor exploitation. Refer to the Journal of World-Systems Research (Winter 2004) study of 14 student sit-ins for a “sweat-free campus,” presented in
Resonance | Resonance |
1 | 979 |
2 | 1572 |
3 | 2113 |
4 | 2122 |
5 | 2659 |
6 | 2795 |
7 | 3181 |
8 | 3431 |
9 | 3638 |
10 | 3694 |
11 | 4038 |
12 | 4203 |
13 | 4334 |
14 | 4631 |
15 | 4711 |
16 | 4993 |
17 | 5130 |
18 | 5210 |
19 | 5214 |
20 | 5633 |
21 | 5779 |
22 | 5836 |
23 | 6259 |
24 | 6339 |
Based on Russell, D. A. “Basketballs as spherical acoustic cavities.” American Journal of Physics , Vol. 48, No. 6, June 2010.
Exercise. The SITIN file contains data on the duration (in days) of each sit-in, as well as data on the number of student arrests.
a. Use a scatterplot to graph the relationship between duration and number of arrests. Do you detect a trend?
b. Repeat part a , but graph only the data for sit-ins in which there was at least one arrest. Do you detect a trend?
c. Comment on the reliability of the trend you detected in part b.
Recall that the SITIN file contains data on the duration (in days) of each sit-in, as well as the number of student arrests. The data for 5 sit-ins in which there was at least one arrest are shown in the table (p. 548). Let y = number of arrests and x = duration.
a. Give the equation of a straight-line model relating y to x.
b. SPSS was used to fit the model to the data for the 5 sitins. The printout is shown on page 538. Give the least squares prediction equation.
Sit-In
University
Duration (days)
Number of Arrests
12
Wisconsin
4
54
14
SUNY Albany
1
11
15
Oregon
3
14
17
Iowa
4
16
18
Kentucky
1
12
12
Wisconsin
4
54
Based on Ross, R. J. S. “From antisweatshop to global justice to antiwar: How the new new left is the same and different from the old new left.” Journal of Word-Systems Research , Vol. X, No. 1, Winter 2004.
c. Interpret the estimates of β0 and β1 in the context of the problem.
d. Find and interpret the value of s on the printout.
e. Find and interpret the value of r2 on the printout.
f. Conduct a test to determine whether number of arrests is positively linearly related to duration. (Use α =.10)
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