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 2.145 (p. 93). Recall that the SIT1N 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 accompanying table. 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 sit-ins. The SPSS printout is shown at the bottom of the page. Give the least squares prediction equation.
c. Interpret the estimates of β0 and β1 in the context of the problem.
SITIN2(Selected observations)
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 |
Source: 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 (Tables 1 and 3).
Exercise 2.145
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” at universities in 1999 and 2000, presented in Exercise 2.35 (p. 47). 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.
Exercise 2.35
College protests of labor exploitation. The United Students Against Sweatshops (USAS) was formed by students on US. and Canadian college campuses in 1999 to protest labor exploitation in the apparel industry. Clark University sociologist Robert Ross analyzed the USAS movement in the Journal of World-Systems Research (Winter 2004). Between 1999 and 2000, there were 18 student “sit-ins” for a “sweat-free campus” organized at several universities. The following table gives the duration (in days) of each sit-in, as well as the number of student arrests:
SITIN
Sit-in | Year | University | Duration (days) | Number of Arrests | Tier Ranking |
1 | 1999 | Duke | 1 | 0 | 1st |
2 | 1999 | Georgetown | 4 | 0 | 1st |
3 | 1999 | Wisconsin | 1 | 0 | 1st |
4 | 1999 | Michigan | 1 | 0 | 1st |
5 | 1999 | Fairfield | 1 | 0 | 1st |
6 | 1999 | North Carolina | 1 | 0 | 1st |
7 | 1999 | Arizona | 10 | 0 | 1st |
8 | 2000 | Toronto | 11 | 0 | 1st |
9 | 2000 | Pennsylvania | 9 | 0 | 1st |
10 | 2000 | Macalester | 2 | 0 | 1st |
11 | 2000 | Michigan | 3 | 0 | 1st |
12 | 2000 | Wisconsin | 4 | 54 | 1st |
13 | 2000 | Tulane | 12 | 0 | 1st |
14 | 2000 | SUNY Albany | 1 | 11 | 2nd |
15 | 2000 | Oregon | 3 | 14 | 2nd |
16 | 2000 | Purdue | 12 | 0 | 2nd |
17 | 2000 | Iowa | 4 | 16 | 2nd |
18 | 2000 | Kentucky | 1 | 12 | 2nd |
Source: 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 World-Systems Research, Vol. X, No. 1,Winter 2004 (Tables 1 and 3).
a. Use a stem-and-leaf display to summarize the data on sit-in duration.
b. Highlight (or circle) the leaves in the display that correspond to sit-ins during which at least one arrest was made. Does the pattern revealed support the theory that sit-ins of longer duration are more likely to lead to arrests?
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