William used a sample of 68 U.S. cities to estimate therelationship between Crim
ID: 2917486 • Letter: W
Question
William used a sample of 68 U.S. cities to estimate therelationship between Crime (annual property crimes per100,000 persons) and Income (median income per capita).His estimated regression equation was Crime = 428 + 0.050Income. We can conclude that
the true slope must be zero.
crime seems to create additional income in a city.
wealthy individuals tend to commit more crimes, on average.
an increase in median income is associated with an increase incrime.
William used a sample of 68 U.S. cities to estimate therelationship between Crime (annual property crimes per100,000 persons) and Income (median income per capita).His estimated regression equation was Crime = 428 + 0.050Income. We can conclude that
the true slope must be zero.
crime seems to create additional income in a city.
wealthy individuals tend to commit more crimes, on average.
an increase in median income is associated with an increase incrime.
William used a sample of 68 U.S. cities to estimate therelationship between Crime (annual property crimes per100,000 persons) and Income (median income per capita).His estimated regression equation was Crime = 428 + 0.050Income. We can conclude that the true slope must be zero. crime seems to create additional income in a city. wealthy individuals tend to commit more crimes, on average. an increase in median income is associated with an increase incrime.