William used a sample of 68 large US cities to estimate the

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:

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

b. wealthy individuals tend to commit more crimes, on average.

c. the slope is small so Income has no effect on Crime.

d. crime seems to create additional income in a city.

Solution

Answer to the question)

The data relates to large US cities. In such large cities Zero income is not possible , and is a meaningless term , which renders the intercept to be completely meaningless.

Thus the correct answer choice is \"third Statement\"