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 slope is small so Income has no effect on Crime.

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

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

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

Solution

Since the slop of the regression line is positive , So as per the equation as the income increases there is a small increase in the Crimes as well.

Thus option c. wealthy individuals tend to commit more crimes, on average. is correct