= 20 and F 0 . 0000 11 1 Residual 20499. 3429 17, 691 1. 15874416 R-squared 0. 3020 Adj R-squared 11 0. 3020 Total | 29369.2225 17 , 692 1 . 6600284 Root MSE 1 . 0764 In_e2 | Coef Std. Err. P> / t/ [95% Conf. Interval] In_age 4. 089787 . 046745 87 . 49 0 . 000 3 . 998162 4 . 181412 _cons -29 . 71995 311845 -95 . 30 0. 000 -30.3312 -29. 10871 Question 14: Your colleague is modeling violent crime rate across counties in the US as a function of county's unemployment rate and other characteristics where violentcrime = Number of reported violent crime offenses per 100,000 population. unemplete = percent of adults in a county who are currently unemployed, e.g. 5 means that 5% are unemployed highschool = percent of population in a county with high school degree or morebmi26_30 = a dummy variable that takes value 1 if a person has Body Mass Index is >= 26 and = 31 and F 0 . 0000 11 11 1 1 1 11 Residual 3168 . 68579 17 , 686 . 179163507 R-squared 0 . 0471 Adj R-squared 0 . 0468 Total 3325 . 29848 17, 692 . 187954922 Root MSE . 42328 hospital Coef. Std. Err. P> |t| [95% Conf. Interval] age_m 0006315 0000239 26.39 0 . 000 0005846 0006784 bmi19 088541 0198623 4 . 46 0 . 000 . 049609 127473 establish pocket tear strength as compa bmi26_30 0111016 0075043 1 . 48 0. 139 -. 0036075 0258107 non-reinforced pocket in Five Star bmi 31_35 0426058 0095796 4. 45 0 . 000 0238287 0613828 bmi 36plus . 0705011 0126296 5 . 58 0. 000 . 0457458 0952565 In_wealth -. 013904 . 0014579 -9 . 54 0. 000 - . 0167617 -. 0110463 _cons -. 1207906 . 0264961 -4. 56 0 . 000 -. 1727255 -. 0688556 . ACCO Brands will replace any Five Star* notebook that is returned within one year Based on independent laboratory test results the" sum hospital age_m bmi19 bmi26_30 bmi31_35 bmi36plus In_wealth if e (sample) ==1 S Variable Obs Mean Std. Dev. Min Max from the date of purchase. This guarantee does not cover damage due to abuse. Contact ACCO Brands Consumer Affairs at www.mead.com for instructions. hospital 17, 693 2508902 4335377 11 IN X 8/2 1 age_m 17 , 693 799. 2666 135 . 9948 288 1284 omi19 17, 693 0280337 . 1650737 0 1 27.9 cm x 21.5 bmi26_30 17, 693 3763635 . 4844866 0 bmi31_35 17, 693 . 1660544 37214 bmi 36plus 17, 693 . 0807664 . 2724837 In_wealth 17, 693 1 10 . 96846 2 . 200316 17. 38087 a) What percent of people have been hospitalized? FIVE b) Explain why you are not allowed to include bmi20_25 variable in your regression model above. Identify the