William used a sample of 68 U.S. cities to estimate therelationship between Crim

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.

Explanation / Answer

Option 3 is Right i.e., Wealty individuals tend to commit more crimes, onaverage.

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