demographic characteristics. Crime, B+B,pop dens, + ,pop_1824, +B,Pov, + B,Unemp, +6, RAPALADE bop 1824 RAY CRUMA CA unemployment 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 Estimate the model we get the table below: Source I SS df MS Number of obs - 2666 F 2661) 94.65 999433517 Model 4 249858379 Residual 1 7.0248e+09 2661 2639911.37 Prob F 0.0000 R-squared 0.1206 Adj R-squared 0.1232 Total 8.0242e+09 2665 3010970.98 Root MSE 1624.8 crime_rate Coef. Std. Err. t P>|t| (95 Conf. Interval] pop_dens pop 1824 1 pov unemployment cons .5419086 114.9455 4.464696 6.161294 47.91983 14.60369 1429.351 111.2275 .0430462 8.982499 12.85 12.59 D.DDO 12.80 0.000 D.72 D.469 3.28 0.001 0.000 .4575013 .6263159 97.3321 132.5589 -7.616713 16.54611 19.28409 76.55556 1211.249 1647.452 1) Interpret the R2. 2) Which of the estimated coefficients are statistically different from zero? 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.