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dest demographic characteristics Crime RAP laps bop 1824 DAX CHUMA CALA unemployment Estimate the model we get the table below Source I B B pop dens pop 1824 B Pov B Unemp Population density measured as persons per square mile Percent of the population between the ages of 18 and 24 Percent of the population below the poverty line FBI Crime Rate measured as total crimes per 100 000 population Unemployment Rate crime rate SS 4 Model I 999433517 249858379 Residual 1 7 0248e 09 2661 2639911 37 Total 1 Coef pop dens I 5419086 pop 1824 1 unemployment I cons I 1 Interpret the R 114 9455 pov 4 464696 47 91983 1429 351 df 8 0242e 09 2665 MS 3010970 98 Std Err 0430462 8 982499 6 161294 14 60369 111 2275 t P t 12 59 D DDO 12 80 0 000 0 72 D 469 3 28 D 001 12 85 0 000 Number of obs F4 2661 Prob F M R squared Adj R squared Root MSE HE 4575013 97 3321 7 616713 19 28409 1211 249 2 Which of the estimated coefficients are statistically different from zero 2666 94 65 0 0000 0 1246 95 Conf Intervall D 1232 1624 8 6263159 132 5589 16 54611 76 55556 1647 452 3 Now let s examine how crime rates vary with the fraction of the population that is between 18 and 24 years of age Specifically calculate the predicted crime rate in a county where 1 5 5 of the population is between 18 and 24 years of age and 2 15 of the population is between 18 and 24 years of age When making these calculations hold all other variables constant

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