William used a sample of 68 large U. cities to estimate the relationship between Crime (annual property crimes per 100,000 persons) and Income...

William used a sample of 68 large U.S. cities to estimate the relationship between Crime (annual property crimes per 100,000 persons) and Income (median annual income per capita, in dollars). His estimated regression equation was Crime = 428 + 0.050 Income. We can conclude that: 

crime seems to create additional income in a city

wealthy individuals tend to commit more crimes, on average

the slope is small so Income has no effect on Crime

by itself the intercept is irrelevant since zero median income is impossible in a large city