he data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total rollment; police, employed officers. Use the estimated OLS models to answer the questions below: odel A: (crime) = -6.631 +1.270ln(enroll), (.110) (1.034) = 97; R² = .5804 odel B: (crime) = -4.794+.923ln(enroll) + .516ln(police), (.144) (.149) (1.112) = 97; R² = .632 sing Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a vo-sided alternative). Calculate the t-statistic.

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The data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total
enrollment; police, employed officers. Use the estimated OLS models to answer the questions below:
Model A:
In(crime) = -6.631 + 1.270ln(enroll),
(1.034) (.110)
n = 97; R² = .5804
Model B:
In(crime) = -4.794 + .923ln(enroll)
(.144)
(1.112)
n = 97; R² = .632
+.516ln(police),
(.149)
Using Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a
two-sided alternative). Calculate the t-statistic.
Transcribed Image Text:The data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total enrollment; police, employed officers. Use the estimated OLS models to answer the questions below: Model A: In(crime) = -6.631 + 1.270ln(enroll), (1.034) (.110) n = 97; R² = .5804 Model B: In(crime) = -4.794 + .923ln(enroll) (.144) (1.112) n = 97; R² = .632 +.516ln(police), (.149) Using Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a two-sided alternative). Calculate the t-statistic.
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