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 2.199 (p. 109). Data on the duration (in days) of each sit-in as well as the number of student arrests were measured. The data for 5 sit-ins in which there was at least one arrest are shown in the table. Let y = number of arrests and x = duration.

SPSS Output for Exercise 11.138

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 printout is shown above. Give the least squares prediction equation.
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 a = .10.)

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Number Duration (days) of Arrests Sit-In University Wisconsin 12 14 15 17 18 4 54 11 14 16 12 SUNY Albany Oregon Iowa Kentucky 3. 4 Model Summary R Square .361 Adjusted R Square .148 Std. Error of the Estimate 16.913 Model 601 a. Predictors: (Constant), DURATION ANOVAD Sum of Squares Mean Square Sig. 284 Model df Regression 485.026 485.026 1.696 Residual 858.174 3 286.058 Total 1343.200 a. Predictors: (Constant), DURATION b. Dependent Vanable: ARRESTS Coefficients Unstandardized Standardized Coefficients Std. Error 16.352 Coefficients Beta Model (Constant) Sig. .887 2.522 .154 DURATION 7.261 5.576 .601 1.302 284 a. Dependent Variable: ARRESTS