Homework SourseWilliam 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:
| crime seems to create additional income in a city. | |
| the slope is small so Income has no effect on Crime. | |
| the intercept is irrelevant since zero median income is impossible in a large city. | |
| wealthy individuals tend to commit more crimes, on average. |
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\"
