Linear Regression Robbery rate. A criminologist studying the relationship between population density and robbery rate in medium-sized U.S. cities collected the following data for a random sample of 16 cities; X is the population density of the city (number of people per unit area), and Y is the robbery rate last year (number of robberies per 100,000 people). Assume that the first-order regression model (2.1) is appropri- ite. E: 1 2 3 4 5 6 7 8 59 49 75 54 78 56 60 82 Y: 209 180 195 192 215 197 208 1 10 11 12 13 14 15 16 XA 69 83 88 94 47 65 89 70 Y: 213 201 214 212 205 186 200 204 a) Develop the regression equation b) Calculate R? c) What is the significance of bo here